Jacob Scharcanski

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Orthogonal Hierarchical Risk Parity Allocation Method for Improved Portfolio Out-of-Sample Performance. IEEE Access Kevin Gabriel Ramisch Pergher, John Soldera, Jacob Scharcanski
2026	J	`jnl`	Face Recognition, Modalities and Applications [Instrumentation and Measurement Systems]. IEEE Instrum. Meas. Mag. John Soldera, Jacob Scharcanski
2025	J	`jnl`	Class preserving projections and data augmentation for appearance-based face recognition. Pattern Anal. Appl. John Soldera, Jacob Scharcanski
2025	—	`conf`	Dynamic Orthogonal Lower Dimensional Projections for Improving Hierarchical Risk Allocation and Out of Sample Portfolio Returns. CiFer Companion Kevin Gabriel Ramisch Pergher, John Soldera, Jacob Scharcanski
2025	J	`jnl`	Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information. IEEE Access Eliezer Soares Flores, Jacob Scharcanski
2023	—	`ch.`	"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. Escola de Computação PPGC/UFRGS 50 Anos Ana L. C. Bazzan, Anderson R. Tavares, André Grahl Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luís Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
2023	J	`jnl`	"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR Ana L. C. Bazzan, Anderson R. Tavares, André Grahl Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
2021	J	`jnl`	Part-Based Object Tracking Using Multiple Adaptive Correlation Filters. IEEE Trans. Instrum. Meas. Pablo Barcellos, Jacob Scharcanski
2021	J	`jnl`	Some Information Geometric Aspects of Cyber Security by Face Recognition. Entropy C. T. J. Dodson, John Soldera, Jacob Scharcanski
2021	J	`jnl`	TC-17 Progress: Advances in Materials and Measurements. IEEE Instrum. Meas. Mag. Jacob Scharcanski, George C. Giakos
2020	J	`jnl`	An Adaptive Face Tracker with Application in Yawning Detection. Sensors Aasim Khurshid, Jacob Scharcanski
2020	—	`conf`	Object tracking scheme using part-based correlation filters. I2MTC Pablo Barcellos, Jacob Scharcanski
2019	J	`jnl`	Dictionaries of deep features for land-use scene classification of very high spatial resolution images. Pattern Recognit. Eliezer Soares Flores, Maciel Zortea, Jacob Scharcanski
2019	—	`conf`	On the Data Conditioning for Facial Spoofing Attacks Detection using Deep Learning. I2MTC Raphael Ruschel, Lucas Royes Schardosim, Jacob Scharcanski
2018	J	`jnl`	A new method for building adaptive Bayesian trees and its application in color image segmentation. Expert Syst. Appl. Guilherme Schu, Jacob Scharcanski
2018	J	`jnl`	An iterative approach for obtaining multi-scale superpixels based on stochastic graph contraction operations. Expert Syst. Appl. Dionicio Vasquez, Jacob Scharcanski
2018	J	`jnl`	Classify-normalize-classify - A novel data-driven framework for classifying forest pixels in remote sensing imagery. Earth Sci. Informatics Cesar Salgado, Maciel Zortea, Jacob Scharcanski
2018	J	`jnl`	Image-based approach for detecting vehicles in user-defined virtual inductive loops. J. Electronic Imaging Vitor Gomes, Pablo Barcellos, Jacob Scharcanski
2018	—	`conf`	Incremental multi-model dictionary learning for face tracking. I2MTC Aasim Khurshid, Jacob Scharcanski
2018	J	`jnl`	Scalable image segmentation via decoupled sub-graph compression. Pattern Recognit. R. S. Medeiros, Alexander Wong, Jacob Scharcanski
2017	J	`jnl`	A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images. Pattern Recognit. Maciel Zortea, Eliezer Soares Flores, Jacob Scharcanski
2017	J	`jnl`	Motion Detection and Compensation of Affine Deformations in Infrared Retinal Videos. IEEE Trans. Instrum. Meas. Lucas Royes Schardosim, Jacob Scharcanski
2017	J	`jnl`	Stochastic shadow detection using a hypergraph partitioning approach. Pattern Recognit. Vitor Gomes, Pablo Barcellos, Jacob Scharcanski
2016	J	`jnl`	Bringing Vision-Based Measurements into our Daily Life: A Grand Challenge for Computer Vision Systems. Frontiers ICT Jacob Scharcanski
2016	J	`jnl`	Image segmentation via multi-scale stochastic regional texture appearance models. Comput. Vis. Image Underst. R. S. Medeiros, Jacob Scharcanski, Alexander Wong
2016	B	`conf`	Segmentation and classification of melanocytic skin lesions using local and contextual features. ICIP Eliezer E. Bernart, Jacob Scharcanski, Sergio Bampi
2016	J	`jnl`	Segmentation of melanocytic skin lesions using feature learning and dictionaries. Expert Syst. Appl. Eliezer Soares Flores, Jacob Scharcanski
2016	J	`jnl`	Shadow detection in camera-based vehicle detection: survey and analysis. J. Electronic Imaging Pablo Barcellos, Vitor Gomes, Jacob Scharcanski
2016	J	`jnl`	Yawning Detection Using Embedded Smart Cameras. IEEE Trans. Instrum. Meas. Mona Omidyeganeh, Shervin Shirmohammadi, Shabnam Abtahi, Aasim Khurshid, Muhammad Farhan, Jacob Scharcanski, Behnoosh Hariri, Daniel Laroche, Luc Martel
2015	—	`conf`	A fast algorithm for tracking moving objects based on spatio-temporal video segmentation and cluster ensembles. I2MTC Yumi Monma, Luciano S. Silva, Jacob Scharcanski
2015	J	`jnl`	A novel video based system for detecting and counting vehicles at user-defined virtual loops. Expert Syst. Appl. Pablo Barcellos, Christiano Bouvié, Fabiano Lopes Escouto, Jacob Scharcanski
2015	J	`jnl`	Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition. IEEE Trans. Instrum. Meas. John Soldera, Carlos Alberto Ramirez Behaine, Jacob Scharcanski
2015	—	`conf`	Stochastic color image segmentation using spatial constraints. I2MTC Dionicio Vasquez, Jacob Scharcanski, Alexander Wong
2014	—	`conf`	Phase-shift and information measures for retinal motion detection and compensation with optimized parameter selection. I2MTC Lucas Royes Schardosim, Jacob Scharcanski
2014	—	`conf`	Segmentation of Pigmented Melanocytic Skin Lesions Based on Learned Dictionaries and Normalized Graph Cuts. SIBGRAPI Eliezer Soares Flores, Jacob Scharcanski
2014	—	`conf`	Segmentation of pigmented skin lesions using Non-negative Matrix Factorization. I2MTC Pablo Gautério Cavalcanti, Jacob Scharcanski, César Ernesto Martínez, Leandro E. Di Persia
2013	J	`jnl`	A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images. Comput. Methods Programs Biomed. Pablo Gautério Cavalcanti, Jacob Scharcanski
2013	J	`jnl`	A morphologic two-stage approach for automated optic disk detection in color eye fundus images. Pattern Recognit. Lett. Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho
2013	—	`conf`	A novel 3D approach for the extraction of the wetting front in CT images of soil profiles. I2MTC Dionicio Vasquez, Jacob Scharcanski, Alexander Wong, Silvio Crestana
2013	J	`jnl`	A two-stage approach for discriminating melanocytic skin lesions using standard cameras. Expert Syst. Appl. Pablo Gautério Cavalcanti, Jacob Scharcanski, Gladimir V. G. Baranoski
2013	J	`jnl`	Audiovisual Voice Activity Detection Based on Microphone Arrays and Color Information. IEEE J. Sel. Top. Signal Process. Vicente P. Minotto, Carlos B. O. Lopes, Jacob Scharcanski, Cláudio Rosito Jung, Bowon Lee
2013	J	`jnl`	Feature selection for face recognition based on multi-objective evolutionary wrappers. Expert Syst. Appl. Leandro Daniel Vignolo, Diego H. Milone, Jacob Scharcanski
2013	J	`jnl`	Motion detection and compensation in infrared retinal image sequences. Comput. Medical Imaging Graph. Jacob Scharcanski, Lucas RoyesJose Schardosim, Daniel dos Santos Jr., José Augusto Stuchi
2013	—	`conf`	Multi-scale stochastic color texture models for skin region segmentation and gesture detection. ICME Workshops R. S. Medeiros, Jacob Scharcanski, Alexander Wong
2013	Misc	`conf`	Natural scene segmentation based on a stochastic texture region merging approach. ICASSP R. S. Medeiros, Jacob Scharcanski, Alexander Wong
2013	—	`conf`	Tracking and counting vehicles in traffic video sequences using particle filtering. I2MTC Christiano Bouvié, Jacob Scharcanski, Pablo Barcellos, Fabiano Lopes Escouto
2012	B	`conf`	An evolutionary wrapper for feature selection in face recognition applications. SMC Leandro Daniel Vignolo, Diego H. Milone, Carlos A. R. Behaine, Jacob Scharcanski
2012	J	`jnl`	Enhancing the Performance of Active Shape Models in Face Recognition Applications. IEEE Trans. Instrum. Meas. Carlos A. R. Behaine, Jacob Scharcanski
2012	J	`jnl`	Hysteroscopy video summarization and browsing by estimating the physician's attention on video segments. Medical Image Anal. Wilson Gavião, Jacob Scharcanski, Jan-Michael Frahm, Marc Pollefeys
2012	J	`jnl`	Monte Carlo despeckling of transrectal ultrasound images of the prostate. Digit. Signal Process. Alexander Wong, Jacob Scharcanski
2011	J	`jnl`	A Particle-Filtering Approach for Vehicular Tracking Adaptive to Occlusions. IEEE Trans. Veh. Technol. Jacob Scharcanski, Alessandro Bof de Oliveira, Pablo Gautério Cavalcanti, Yessenia Yari
2011	—	`conf`	An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images. EMBC Pablo Gautério Cavalcanti, Jacob Scharcanski, Leandro E. Di Persia, Diego H. Milone
2011	J	`jnl`	Automated prescreening of pigmented skin lesions using standard cameras. Comput. Medical Imaging Graph. Pablo Gautério Cavalcanti, Jacob Scharcanski
2011	J	`jnl`	Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging. IEEE Trans. Inf. Technol. Biomed. Alexander Wong, Jacob Scharcanski, Paul W. Fieguth
2011	B	`conf`	Color-based lips extraction applied to voice activity detection. ICIP Carlos B. O. Lopes, Andre L. Gonçalves, Jacob Scharcanski, Cláudio Rosito Jung
2011	J	`jnl`	Fisher-Tippett Region-Merging Approach to Transrectal Ultrasound Prostate Lesion Segmentation. IEEE Trans. Inf. Technol. Biomed. Alexander Wong, Jacob Scharcanski
2011	J	`jnl`	Fovea center detection based on the retina anatomy and mathematical morphology. Comput. Methods Programs Biomed. Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho
2011	J	`jnl`	Introduction to the special issue on unconstrained biometrics: advances and trends. Signal Image Video Process. Hugo Proença, Eliza Yingzi Du, Jacob Scharcanski
2010	J	`jnl`	A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images. Comput. Medical Imaging Graph. Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho
2010	Misc	`conf`	A morphologic three-stage approach for detecting exudates in color eye fundus images. SAC Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho
2010	B	`conf`	Gop structure adaptive to the video content for efficient H.264/AVC encoding. ICIP Bruno Zatt, Marcelo Schiavon Porto, Jacob Scharcanski, Sergio Bampi
2010	J	`jnl`	Interactive Modeling and Evaluation of Tumor Growth. J. Digit. Imaging Jacob Scharcanski, Luciano Silva da Silva, David Koff, Alexander Wong
2010	J	`jnl`	Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. Comput. Biol. Medicine Daniel Welfer, Jacob Scharcanski, Cleyson M. Kitamura, Melissa M. Dal Pizzol, Laura W. B. Ludwig, Diane Ruschel Marinho
2010	—	`conf`	Shading Attenuation in Human Skin Color Images. ISVC (1) Pablo Gautério Cavalcanti, Jacob Scharcanski, Carlos B. O. Lopes
2010	—	`conf`	Vehicle Counting and Trajectory Detection Based on Particle Filtering. SIBGRAPI Alessandro Bof de Oliveira, Jacob Scharcanski
2010	J	`jnl`	Video Segmentation Based on Motion Coherence of Particles in a Video Sequence. IEEE Trans. Image Process. Luciano Silva da Silva, Jacob Scharcanski
2009	J	`jnl`	Phase-Adaptive Superresolution of Mammographic Images Using Complex Wavelets. IEEE Trans. Image Process. Alexander Wong, Jacob Scharcanski
2009	J	`jnl`	Sharpening Dermatological Color Images in the Wavelet Domain. IEEE J. Sel. Top. Signal Process. Cláudio Rosito Jung, Jacob Scharcanski
2008	J	`jnl`	Lossless and near-lossless digital angiography coding using a two-stage motion compensation approach. Comput. Medical Imaging Graph. Rafael A. P. dos Santos, Jacob Scharcanski
2008	J	`jnl`	Measuring Statistical Geometric Properties of Tomographic Images of Soils. IEEE Trans. Instrum. Meas. Siovani Cintra Felipussi, Jacob Scharcanski, João Luiz Dihl Comba
2008	J	`jnl`	Representação e Classificação de Texturas da Íris Baseada na Transformada Ótima de Gabor. RITA Fernanda Rispoli Quartieri, Jacob Scharcanski, Letícia Vieira Guimarães, Adalberto Schuck Junior
2007	J	`jnl`	A Wavelet-Based Approach for Analyzing Industrial Stochastic Textures With Applications. IEEE Trans. Syst. Man Cybern. Part A Jacob Scharcanski
2007	J	`jnl`	Evaluating the mid-secretory endometrium appearance using hysteroscopic digital video summarization. Image Vis. Comput. Wilson Gavião, Jacob Scharcanski
2007	—	`conf`	Unsupervised Identification of Coherent Motion in Video. SIBGRAPI Luciano Silva da Silva, Jacob Scharcanski
2006	J	`jnl`	A framework for medical visual information exchange on the WEB. Comput. Biol. Medicine Silvio Antonio Carro, Jacob Scharcanski
2006	J	`jnl`	Denoising and enhancing digital mammographic images for visual screening. Comput. Medical Imaging Graph. Jacob Scharcanski, Cláudio Rosito Jung
2006	B	`conf`	Hierarchical Summarization of Diagnostic Hysteroscopy Videos. ICIP Jacob Scharcanski, Wilson Gavião
2006	B	`conf`	Lossless and Near-Lossless Compression for Mammographic Digital Images. ICIP Jacob Scharcanski
2006	J	`jnl`	Medical imaging and graphics in SIBGRAPI/SIACG. Comput. Medical Imaging Graph. Jacob Scharcanski
2006	J	`jnl`	Stochastic Texture Analysis for Measuring Sheet Formation Variability in the Industry. IEEE Trans. Instrum. Meas. Jacob Scharcanski
2005	—	`conf`	A lossless compression approach for mammographic digital images based on the Delaunay triangulation. ICIP (2) Luciano Silva da Silva, Jacob Scharcanski
2005	—	`conf`	Content-Based Diagnostic Hysteroscopy Summaries for Video Browsing. SIBGRAPI Wilson Gavião, Jacob Scharcanski
2005	J	`jnl`	Robust watershed segmentation using wavelets. Image Vis. Comput. Cláudio Rosito Jung, Jacob Scharcanski
2005	J	`jnl`	Stochastic texture analysis for monitoring stochastic processes in industry. Pattern Recognit. Lett. Jacob Scharcanski
2004	—	`conf`	An Adaptive Approach to Mammographic Image Denoising and Enhancement. SIBGRAPI Jacob Scharcanski, Cláudio Rosito Jung
2004	J	`jnl`	Making Medical Visual Information Available on the WEB. RITA Silvio Antonio Carro, Jacob Scharcanski
2004	J	`jnl`	Wavelet transform approach to adaptive image denoising and enhancement. J. Electronic Imaging Cláudio Rosito Jung, Jacob Scharcanski
2003	J	`jnl`	Adaptive image denoising and edge enhancement in scale-space using the wavelet transform. Pattern Recognit. Lett. Cláudio Rosito Jung, Jacob Scharcanski
2003	J	`jnl`	Information geometric similarity measurement for near-random stochastic processes. IEEE Trans. Syst. Man Cybern. Part A C. T. J. Dodson, Jacob Scharcanski
2003	—	`conf`	MedISeek: a web based diffusion system for medical visual information. WIDM Silvio Antonio Carro, Jacob Scharcanski, José Valdeni de Lima
2003	—	`conf`	Semi-Automatic Hysteroscopic Video Summarization. SIBGRAPI Wilson Gavião, Jacob Scharcanski, João Sabino Cunha Filho
2002	J	`jnl`	Adaptive image denoising using scale and space consistency. IEEE Trans. Image Process. Jacob Scharcanski, Cláudio Rosito Jung, Robin T. Clarke
2002	J	`jnl`	Echocardiographic Image Sequence Segmentation and Analysis Using Self-Organizing Maps. J. VLSI Signal Process. Mozart Lemos de Siqueira, Jacob Scharcanski, Philippe Olivier Alexandre Navaux
2002	—	`conf`	Robust Watershed Segmentation Using the Wavelet Transform. SIBGRAPI Cláudio Rosito Jung, Jacob Scharcanski
2002	J	`jnl`	Simulating Effects of Fiber Crimp, Flocculation, Density, and Orientation on Structure Statistics of Stochastic Fiber Networks. Simul. Jacob Scharcanski, C. T. J. Dodson, Robin T. Clarke
2001	—	`conf`	Adaptative Image Denoising in Scale-Space Using the Wavelet Transform. SIBGRAPI Cláudio Rosito Jung, Jacob Scharcanski
2001	J	`jnl`	Wavelet-based method for image filtering using scale-space continuity. J. Electronic Imaging Cláudio Rosito Jung, Jacob Scharcanski
2000	J	`jnl`	Simulating Colloidal Thickening: Virtual Papermaking. Simul. Jacob Scharcanski, C. T. J. Dodson
2000	—	`conf`	Stochastic Texture Image Retrieval and Similarity Matching. SIBGRAPI Cláudio Rosito Jung, Jacob Scharcanski
2000	J	`jnl`	Stochastic texture image estimators for local spatial anisotropy and its variability. IEEE Trans. Instrum. Meas. Jacob Scharcanski, Christopher T. J. Dodson
1997	J	`jnl`	Edge detection of color images using directional operators. IEEE Trans. Circuits Syst. Video Technol. Jacob Scharcanski, Anastasios N. Venetsanopoulos
1994	J	`jnl`	Representing the color aspect of texture images. Pattern Recognit. Lett. Jacob Scharcanski, Jeff K. Hovis, Helen C. Shen
1993	—	`ch.`	Representational Issues in Texture Analysis. Computer Vision: Systems, Theory and Applications Helen C. Shen, David K. Y. Chiu, C. Y. C. Bie, Jacob Scharcanski, Alexandre P. Alves da Silva

00000000  7f 45 4c 46 02 01 01 00  00 00 00 00 00 00 00 00  |.ELF............|
00000010  03 00 3e 00 01 00 00 00  60 10 00 00 00 00 00 00  |..>.....`.......|
00000020  40 00 00 00 00 00 00 00  d8 36 00 00 00 00 00 00  |@........6......|
00000030  00 00 00 00 40 00 38 00  0d 00 40 00 1f 00 1e 00  |[email protected]...@.....|
00000040  06 00 00 00 04 00 00 00  40 00 00 00 00 00 00 00  |........@.......|
00000050  40 00 00 00 00 00 00 00  40 00 00 00 00 00 00 00  |@.......@.......|
00000060  d8 02 00 00 00 00 00 00  d8 02 00 00 00 00 00 00  |................|
00000070  08 00 00 00 00 00 00 00  03 00 00 00 04 00 00 00  |................|
00000080  18 03 00 00 00 00 00 00  18 03 00 00 00 00 00 00  |................|
00000090  18 03 00 00 00 00 00 00  1c 00 00 00 00 00 00 00  |................|
000000a0  1c 00 00 00 00 00 00 00  01 00 00 00 00 00 00 00  |................|
000000b0  01 00 00 00 04 00 00 00  00 00 00 00 00 00 00 00  |................|
000000c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000000d0  28 06 00 00 00 00 00 00  28 06 00 00 00 00 00 00  |(.......(.......|
000000e0  00 10 00 00 00 00 00 00  01 00 00 00 05 00 00 00  |................|
000000f0  00 10 00 00 00 00 00 00  00 10 00 00 00 00 00 00  |................|
00000100  00 10 00 00 00 00 00 00  e9 01 00 00 00 00 00 00  |................|
00000110  e9 01 00 00 00 00 00 00  00 10 00 00 00 00 00 00  |................|
00000120  01 00 00 00 04 00 00 00  00 20 00 00 00 00 00 00  |......... ......|
00000130  00 20 00 00 00 00 00 00  00 20 00 00 00 00 00 00  |. ....... ......|
00000140  54 01 00 00 00 00 00 00  54 01 00 00 00 00 00 00  |T.......T.......|
00000150  00 10 00 00 00 00 00 00  01 00 00 00 06 00 00 00  |................|
00000160  b8 2d 00 00 00 00 00 00  b8 3d 00 00 00 00 00 00  |.-.......=......|
00000170  b8 3d 00 00 00 00 00 00  58 02 00 00 00 00 00 00  |.=......X.......|
00000180  60 02 00 00 00 00 00 00  00 10 00 00 00 00 00 00  |`...............|
00000190  02 00 00 00 06 00 00 00  c8 2d 00 00 00 00 00 00  |.........-......|
000001a0  c8 3d 00 00 00 00 00 00  c8 3d 00 00 00 00 00 00  |.=.......=......|
000001b0  f0 01 00 00 00 00 00 00  f0 01 00 00 00 00 00 00  |................|
000001c0  08 00 00 00 00 00 00 00  04 00 00 00 04 00 00 00  |................|
000001d0  38 03 00 00 00 00 00 00  38 03 00 00 00 00 00 00  |8.......8.......|
000001e0  38 03 00 00 00 00 00 00  30 00 00 00 00 00 00 00  |8.......0.......|
000001f0  30 00 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |0...............|
00000200  04 00 00 00 04 00 00 00  68 03 00 00 00 00 00 00  |........h.......|
00000210  68 03 00 00 00 00 00 00  68 03 00 00 00 00 00 00  |h.......h.......|
00000220  44 00 00 00 00 00 00 00  44 00 00 00 00 00 00 00  |D.......D.......|
00000230  04 00 00 00 00 00 00 00  53 e5 74 64 04 00 00 00  |........S.td....|
00000240  38 03 00 00 00 00 00 00  38 03 00 00 00 00 00 00  |8.......8.......|
00000250  38 03 00 00 00 00 00 00  30 00 00 00 00 00 00 00  |8.......0.......|
00000260  30 00 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |0...............|
00000270  50 e5 74 64 04 00 00 00  24 20 00 00 00 00 00 00  |P.td....$ ......|
00000280  24 20 00 00 00 00 00 00  24 20 00 00 00 00 00 00  |$ ......$ ......|
00000290  44 00 00 00 00 00 00 00  44 00 00 00 00 00 00 00  |D.......D.......|
000002a0  04 00 00 00 00 00 00 00  51 e5 74 64 06 00 00 00  |........Q.td....|
000002b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000002c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000002d0  00 00 00 00 00 00 00 00  10 00 00 00 00 00 00 00  |................|
000002e0  52 e5 74 64 04 00 00 00  b8 2d 00 00 00 00 00 00  |R.td.....-......|
000002f0  b8 3d 00 00 00 00 00 00  b8 3d 00 00 00 00 00 00  |.=.......=......|
00000300  48 02 00 00 00 00 00 00  48 02 00 00 00 00 00 00  |H.......H.......|
00000310  01 00 00 00 00 00 00 00  2f 6c 69 62 36 34 2f 6c  |......../lib64/l|
00000320  64 2d 6c 69 6e 75 78 2d  78 38 36 2d 36 34 2e 73  |d-linux-x86-64.s|
00000330  6f 2e 32 00 00 00 00 00  04 00 00 00 20 00 00 00  |o.2......... ...|
00000340  05 00 00 00 47 4e 55 00  02 00 00 c0 04 00 00 00  |....GNU.........|
00000350  03 00 00 00 00 00 00 00  02 80 00 c0 04 00 00 00  |................|
00000360  01 00 00 00 00 00 00 00  04 00 00 00 14 00 00 00  |................|
00000370  03 00 00 00 47 4e 55 00  f1 fc 7c e5 de 4b cf b8  |....GNU...|..K..|
00000380  1e 11 df 52 39 ed 51 99  86 3b 31 de 04 00 00 00  |...R9.Q..;1.....|
00000390  10 00 00 00 01 00 00 00  47 4e 55 00 00 00 00 00  |........GNU.....|
000003a0  03 00 00 00 02 00 00 00  00 00 00 00 00 00 00 00  |................|
000003b0  02 00 00 00 06 00 00 00  01 00 00 00 06 00 00 00  |................|
000003c0  00 00 81 00 00 00 00 00  06 00 00 00 00 00 00 00  |................|
000003d0  d1 65 ce 6d 00 00 00 00  00 00 00 00 00 00 00 00  |.e.m............|
000003e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000003f0  10 00 00 00 12 00 00 00  00 00 00 00 00 00 00 00  |................|
00000400  00 00 00 00 00 00 00 00  4a 00 00 00 20 00 00 00  |........J... ...|
00000410  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000420  22 00 00 00 12 00 00 00  00 00 00 00 00 00 00 00  |"...............|
00000430  00 00 00 00 00 00 00 00  66 00 00 00 20 00 00 00  |........f... ...|
00000440  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000450  75 00 00 00 20 00 00 00  00 00 00 00 00 00 00 00  |u... ...........|
00000460  00 00 00 00 00 00 00 00  01 00 00 00 22 00 00 00  |............"...|
00000470  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000480  00 5f 5f 63 78 61 5f 66  69 6e 61 6c 69 7a 65 00  |.__cxa_finalize.|
00000490  5f 5f 6c 69 62 63 5f 73  74 61 72 74 5f 6d 61 69  |__libc_start_mai|
000004a0  6e 00 70 72 69 6e 74 66  00 6c 69 62 63 2e 73 6f  |n.printf.libc.so|
000004b0  2e 36 00 47 4c 49 42 43  5f 32 2e 32 2e 35 00 47  |.6.GLIBC_2.2.5.G|
000004c0  4c 49 42 43 5f 32 2e 33  34 00 5f 49 54 4d 5f 64  |LIBC_2.34._ITM_d|
000004d0  65 72 65 67 69 73 74 65  72 54 4d 43 6c 6f 6e 65  |eregisterTMClone|
000004e0  54 61 62 6c 65 00 5f 5f  67 6d 6f 6e 5f 73 74 61  |Table.__gmon_sta|
000004f0  72 74 5f 5f 00 5f 49 54  4d 5f 72 65 67 69 73 74  |rt__._ITM_regist|
00000500  65 72 54 4d 43 6c 6f 6e  65 54 61 62 6c 65 00 00  |erTMCloneTable..|
00000510  00 00 02 00 01 00 03 00  01 00 01 00 03 00 00 00  |................|
00000520  01 00 02 00 29 00 00 00  10 00 00 00 00 00 00 00  |....)...........|
00000530  75 1a 69 09 00 00 03 00  33 00 00 00 10 00 00 00  |u.i.....3.......|
00000540  b4 91 96 06 00 00 02 00  3f 00 00 00 00 00 00 00  |........?.......|
00000550  b8 3d 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |.=..............|
00000560  40 11 00 00 00 00 00 00  c0 3d 00 00 00 00 00 00  |@........=......|
00000570  08 00 00 00 00 00 00 00  00 11 00 00 00 00 00 00  |................|
00000580  08 40 00 00 00 00 00 00  08 00 00 00 00 00 00 00  |.@..............|
00000590  08 40 00 00 00 00 00 00  d8 3f 00 00 00 00 00 00  |.@.......?......|
000005a0  06 00 00 00 01 00 00 00  00 00 00 00 00 00 00 00  |................|
000005b0  e0 3f 00 00 00 00 00 00  06 00 00 00 02 00 00 00  |.?..............|
000005c0  00 00 00 00 00 00 00 00  e8 3f 00 00 00 00 00 00  |.........?......|
000005d0  06 00 00 00 04 00 00 00  00 00 00 00 00 00 00 00  |................|
000005e0  f0 3f 00 00 00 00 00 00  06 00 00 00 05 00 00 00  |.?..............|
000005f0  00 00 00 00 00 00 00 00  f8 3f 00 00 00 00 00 00  |.........?......|
00000600  06 00 00 00 06 00 00 00  00 00 00 00 00 00 00 00  |................|
00000610  d0 3f 00 00 00 00 00 00  07 00 00 00 03 00 00 00  |.?..............|
00000620  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000630  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000640  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000650  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000660  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000670  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000680  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000690  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000006f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000700  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000710  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000720  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000730  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000740  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000750  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000760  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000770  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000780  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000790  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000007f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000800  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000810  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000820  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000830  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000840  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000850  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000860  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000870  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000880  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000890  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000008f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000900  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000910  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000920  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000930  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000940  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000950  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000960  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000970  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000980  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000990  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009a0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009b0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009c0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009d0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009e0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
000009f0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000a90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000aa0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ab0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ac0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ad0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ae0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000af0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000b90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ba0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000bb0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000bc0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000bd0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000be0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000bf0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000c90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ca0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000cb0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000cc0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000cd0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ce0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000cf0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000d90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000da0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000db0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000dc0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000dd0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000de0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000df0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000e90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ea0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000eb0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ec0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ed0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ee0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ef0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f00  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f10  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f20  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f30  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f40  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f50  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f60  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f70  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f80  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000f90  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000fa0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000fb0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000fc0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000fd0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000fe0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000ff0  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|