Nicolai Petkov

180 papers A* 2B 17C 11Misc 7Journal 84Unranked 51

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Facial Image and Video Pain Intensity Estimation. IEEECONF Melpo Pittara, Andreas Anastasiou, Konstantinos Andreou, Andreas Panayides, Nicolai Petkov, Constantinos S. Pattichis
2024	A*	`conf`	Regressing Transformers for Data-efficient Visual Place Recognition. ICRA Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2024	J	`jnl`	Regressing Transformers for Data-efficient Visual Place Recognition. CoRR Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2023	A*	`conf`	Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. CVPR Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2023	J	`jnl`	Data-efficient Large Scale Place Recognition with Graded Similarity Supervision. CoRR Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2023	—	`conf`	Keynote Address: Improving Contour Detection by Surround Suppression of Texture. SMAP Nicolai Petkov
2022	J	`jnl`	A framework for feature selection through boosting. Expert Syst. Appl. Ahmad Alsahaf, Nicolai Petkov, Vikram Shenoy, George Azzopardi
2022	J	`jnl`	LTC-Mapping, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics. Sensors José Luis Matez-Bandera, David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier González Jiménez
2022	J	`jnl`	[email protected], an ecosystem of virtual environments and tools for realistic indoor robotic simulation. Expert Syst. Appl. David Fernández Chaves, José-Raúl Ruiz-Sarmiento, Alberto Jaenal, Nicolai Petkov, Javier González Jiménez
2021	—	`ed.`	Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers BrainComp Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
2021	—	`conf`	Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics. CAIP (2) David Fernández Chaves, José Luis Matez-Bandera, José-Raúl Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, Javier González Jiménez
2021	J	`jnl`	Generalized Contrastive Optimization of Siamese Networks for Place Recognition. CoRR Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2021	—	`conf`	MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. CAIP (1) Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
2020	—	`ed.`	APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, APPIS 2020, Las Palmas de Gran Canaria Spain, 7-9 January 2020 APPIS Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso-González
2020	J	`jnl`	AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation. IEEE Trans. Inf. Forensics Secur. Antonio Greco, Nicolai Petkov, Alessia Saggese, Mario Vento
2020	J	`jnl`	Efficient binocular stereo correspondence matching with 1-D Max-Trees. Pattern Recognit. Lett. Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov, Michael H. F. Wilkinson
2020	J	`jnl`	Enhanced robustness of convolutional networks with a push-pull inhibition layer. Neural Comput. Appl. Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
2020	J	`jnl`	Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
2020	J	`jnl`	MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees. CoRR Rafaël Brandt, Nicola Strisciuglio, Nicolai Petkov
2020	J	`jnl`	Modular domain-to-domain translation network. Neural Comput. Appl. Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
2020	J	`jnl`	Topic modelling for routine discovery from egocentric photo-streams. Pattern Recognit. Estefanía Talavera, Carolin Wuerich, Nicolai Petkov, Petia Radeva
2020	J	`jnl`	Virtual Reality for Pain Management in Cancer: A Comprehensive Review. IEEE Access Melpo Pittara, Maria Matsangidou, Kyriakos Stylianides, Nicolai Petkov, Constantinos S. Pattichis
2019	J	`jnl`	A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. CoRR Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
2019	J	`jnl`	Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening. IEEE Access Jiapan Guo, George Azzopardi, Chenyu Shi, Nomdo M. Jansonius, Nicolai Petkov
2019	—	`conf`	Brain-Inspired Algorithms for Processing of Visual Data. BrainComp Nicola Strisciuglio, Nicolai Petkov
2019	J	`jnl`	Detection of Int. J. Medical Informatics Chenyu Shi, Joost M. Meijer, Jiapan Guo, George Azzopardi, Gilles F. H. Diercksr, Enno Schmidt, Detlef Zillikens, Marcel F. Jonkman, Nicolai Petkov
2019	J	`jnl`	Estimation of Muscle Scores of Live Pigs Using a Kinect Camera. IEEE Access Ahmad Alsahaf, George Azzopardi, Bart Ducro, Egiel Hanenberg, Roel F. Veerkamp, Nicolai Petkov
2019	—	`conf`	Facilitating the learning process in parallel computing by using instant messaging. TEEM Ángel Manuel Guerrero-Higueras, Lidia Sánchez-González, Miguel Ángel Conde, Francisco J. Rodríguez-Lera, Manuel Castejón Limas, Nicolai Petkov
2019	J	`jnl`	Globular cluster detection in the GAIA survey. Neurocomputing Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif
2019	J	`jnl`	Hierarchical approach to classify food scenes in egocentric photo-streams. CoRR Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
2019	—	`conf`	Integration of CNN into a Robotic Architecture to Build Semantic Maps of Indoor Environments. IWANN (2) David Chaves, José-Raúl Ruiz-Sarmiento, Nicolai Petkov, Javier González Jiménez
2019	J	`jnl`	Learning representations of sound using trainable COPE feature extractors. Pattern Recognit. Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2019	J	`jnl`	Learning skeleton representations for human action recognition. Pattern Recognit. Lett. Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2019	J	`jnl`	Learning sound representations using trainable COPE feature extractors. CoRR Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2019	—	`conf`	Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. CAIP (1) Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2019	J	`jnl`	Place and Object Recognition by CNN-Based COSFIRE Filters. IEEE Access Manuel Lopez-Antequera, Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2019	J	`jnl`	Place recognition in gardens by learning visual representations: data set and benchmark analysis. CoRR Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
2019	—	`ed.`	Proceedings of the 2nd International Conference on Applications of Intelligent Systems, APPIS 2019, Las Palmas de Gran Canaria, Spain, January 07-09, 2019 APPIS Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso
2019	J	`jnl`	Proposal for an eHealth Based Ecosystem Serving National Healthcare. IEEE J. Biomed. Health Informatics Eirini C. Schiza, Theodoros C. Kyprianou, Nicolai Petkov, Christos N. Schizas
2019	J	`jnl`	Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2019	J	`jnl`	TB-Places: A Data Set for Visual Place Recognition in Garden Environments. IEEE Access Maria Leyva-Vallina, Nicola Strisciuglio, Manuel Lopez-Antequera, Radim Tylecek, Michael Blaich, Nicolai Petkov
2019	J	`jnl`	Towards Egocentric Person Re-identification and Social Pattern Analysis. CoRR Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
2019	J	`jnl`	Towards Emotion Retrieval in Egocentric PhotoStream. CoRR Estefanía Talavera, Petia Radeva, Nicolai Petkov
2019	J	`jnl`	Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. CoRR Estefanía Talavera, Nicolai Petkov, Petia Radeva
2019	C	`conf`	Trainable COPE Features for Sound Event Detection. CIARP Nicola Strisciuglio, Nicolai Petkov
2019	—	`conf`	Unsupervised Routine Discovery in Egocentric Photo-Streams. CAIP (1) Estefanía Talavera, Nicolai Petkov, Petia Radeva
2019	J	`jnl`	Unsupervised routine discovery in egocentric photo-streams. CoRR Estefanía Talavera, Nicolai Petkov, Petia Radeva
2018	—	`ed.`	Applications of Intelligent Systems - Proceedings of the 1st International APPIS Conference 2018, Las Palmas de Gran Canaria, Spain, 8-12 January 2018 APPIS Nicolai Petkov, Nicola Strisciuglio, Carlos Manuel Travieso-González
2018	—	`conf`	Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. APPIS Juan Buhagiar, Nicola Strisciuglio, Nicolai Petkov, George Azzopardi
2018	—	`conf`	Brain-Inspired Robust Delineation Operator. ECCV Workshops (3) Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2018	J	`jnl`	Brain-inspired robust delineation operator. CoRR Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2018	—	`conf`	Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. IWOBI Nicola Strisciuglio, Maria Leyva-Vallina, Nicolai Petkov, Rafael Muñoz-Salinas
2018	Misc	`ed.`	Computer Vision and Graphics - International Conference, ICCVG 2018, Warsaw, Poland, September 17-19, 2018, Proceedings ICCVG Leszek J. Chmielewski, Ryszard Kozera, Arkadiusz Orlowski, Konrad Wojciechowski, Alfred M. Bruckstein, Nicolai Petkov
2018	—	`conf`	Detection of Globular Clusters in the Halo of Milky Way. APPIS Mohammad Mohammadi, Nicolai Petkov, Reynier F. Peletier, Pedro Bibiloni, Kerstin Bunte
2018	B	`conf`	Globular Cluster Detection in the Gaia Survey. ESANN Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte
2018	—	`conf`	Modular Domain-to-Domain Translation Network. ICANN (3) Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
2018	—	`conf`	Predicting Slaughter Weight in Pigs with Regression Tree Ensembles. APPIS Ahmad Alsahaf, George Azzopardi, Bart Ducro, Roel F. Veerkamp, Nicolai Petkov
2018	—	`conf`	Towards Egocentric Person Re-Identification and Social Pattern Analysis. APPIS Estefanía Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
2018	J	`jnl`	TrimBot2020: an outdoor robot for automatic gardening. CoRR Nicola Strisciuglio, Radim Tylecek, Nicolai Petkov, Peter Bieber, Jochen Hemming, Eldert J. van Henten, Torsten Sattler, Marc Pollefeys, Theo Gevers, Thomas Brox, Robert B. Fisher
2017	B	`conf`	A real-time system for audio source localization with cheap sensor device. AVSS Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2017	J	`jnl`	Action recognition by learning pose representations. CoRR Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2017	J	`jnl`	Appearance-invariant place recognition by discriminatively training a convolutional neural network. Pattern Recognit. Lett. Manuel Lopez-Antequera, Ruben Gomez-Ojeda, Nicolai Petkov, Javier González Jiménez
2017	—	`conf`	City-scale continuous visual localization. ECMR Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez
2017	J	`jnl`	Color-blob-based COSFIRE filters for object recognition. Image Vis. Comput. Baris Gecer, George Azzopardi, Nicolai Petkov
2017	—	`conf`	Delineation of line patterns in images using B-COSFIRE filters. IWOBI Nicola Strisciuglio, Nicolai Petkov
2017	J	`jnl`	Delineation of line patterns in images using B-COSFIRE filters. CoRR Nicola Strisciuglio, Nicolai Petkov
2017	—	`conf`	Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. CAIP (1) Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2017	J	`jnl`	Detection of curved lines with B-COSFIRE filters: A case study on crack delineation. CoRR Nicola Strisciuglio, George Azzopardi, Nicolai Petkov
2017	—	`conf`	Evaluation of Whole-Image Descriptors for Metric Localization. EUROCAST (2) Manuel Lopez-Antequera, Javier González Jiménez, Nicolai Petkov
2017	J	`jnl`	Inhibition-augmented COSFIRE model of shape-selective neurons. IBM J. Res. Dev. Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov
2017	B	`conf`	Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. IJCNN Andreas C. Neocleous, Costas Neocleous, Christos N. Schizas, Michael Biehl, Nicolai Petkov
2017	Misc	`conf`	Sentiment Recognition in Egocentric Photostreams. IbPRIA Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
2017	J	`jnl`	Sentiment Recognition in Egocentric Photostreams. CoRR Estefanía Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
2017	—	`conf`	Towards Egocentric Sentiment Analysis. EUROCAST (2) Estefanía Talavera, Petia Radeva, Nicolai Petkov
2016	J	`jnl`	Audio Surveillance of Roads: A System for Detecting Anomalous Sounds. IEEE Trans. Intell. Transp. Syst. Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento
2016	J	`jnl`	Automating Vector Autoregression on Electronic Patient Diary Data. IEEE J. Biomed. Health Informatics Ando Celino Emerencia, Lian van der Krieke, Elisabeth H. Bos, Peter de Jonge, Nicolai Petkov, Marco Aiello
2016	—	`ed.`	Brain-Inspired Computing - Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers BrainComp Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
2016	C	`conf`	Image-based localization using Gaussian Processes. IPIN Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez
2016	B	`conf`	Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR George Azzopardi, Laura Fernández-Robles, Enrique Alegre, Nicolai Petkov
2016	J	`jnl`	Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition. Mach. Vis. Appl. Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov
2016	J	`jnl`	Odor recognition in robotics applications by discriminative time-series modeling. Pattern Anal. Appl. Frank-Michael Schleif, Barbara Hammer, Javier Gonzalez Monroy, Javier González Jiménez, José Luis Blanco-Claraco, Michael Biehl, Nicolai Petkov
2016	J	`jnl`	Special issue on selected papers from CAIP 2015. Mach. Vis. Appl. George Azzopardi, Nicolai Petkov
2016	J	`jnl`	Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters. Mach. Vis. Appl. Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov
2016	B	`conf`	Time-frequency analysis for audio event detection in real scenarios. AVSS Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015	—	`conf`	Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images. CAIP (1) Chenyu Shi, Jiapan Guo, George Azzopardi, Joost M. Meijer, Marcel F. Jonkman, Nicolai Petkov
2015	—	`conf`	Bio-Inspired Filters for Audio Analysis. BrainComp Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015	B	`conf`	Car crashes detection by audio analysis in crowded roads. AVSS Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015	—	`ed.`	Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015 Proceedings, Part I CAIP (1) George Azzopardi, Nicolai Petkov
2015	—	`ed.`	Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II CAIP (2) George Azzopardi, Nicolai Petkov
2015	—	`conf`	Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) Laura Fernández-Robles, George Azzopardi, Enrique Alegre, Nicolai Petkov
2015	—	`conf`	Filter-Based Approach for Ornamentation Detection and Recognition in Singing Folk Music. CAIP (1) Andreas C. Neocleous, George Azzopardi, Christos N. Schizas, Nicolai Petkov
2015	—	`conf`	Integrated Electronic Health Record Database Management System: A Proposal. ICIMTH Eirini C. Schiza, George Panos, Christiana David, Nicolai Petkov, Christos N. Schizas
2015	J	`jnl`	MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. Expert Syst. Appl. Ioannis Giotis, Nynke Molders, Sander Land, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov
2015	—	`conf`	Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. CAIP (2) Nicola Strisciuglio, George Azzopardi, Mario Vento, Nicolai Petkov
2015	—	`conf`	Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition. CAIP (2) Jiapan Guo, Chenyu Shi, George Azzopardi, Nicolai Petkov
2015	J	`jnl`	Reliable detection of audio events in highly noisy environments. Pattern Recognit. Lett. Pasquale Foggia, Nicolai Petkov, Alessia Saggese, Nicola Strisciuglio, Mario Vento
2015	J	`jnl`	Trainable COSFIRE filters for vessel delineation with application to retinal images. Medical Image Anal. George Azzopardi, Nicola Strisciuglio, Mario Vento, Nicolai Petkov
2015	J	`jnl`	Training a Convolutional Neural Network for Appearance-Invariant Place Recognition. CoRR Ruben Gomez-Ojeda, Manuel Lopez-Antequera, Nicolai Petkov, Javier González Jiménez
2014	—	`conf`	Automated Segmentation of Folk Songs Using Artificial Neural Networks. IJCCI (NCTA) Andreas C. Neocleous, Nicolai Petkov, Christos N. Schizas
2014	—	`ed.`	Brain-Inspired Computing - International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers BrainComp Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
2014	—	`conf`	Classification system for mortgage arrear management. CIFEr Zhe Sun, Marco A. Wiering, Nicolai Petkov
2014	J	`jnl`	Erratum to: Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl
2014	J	`jnl`	Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models. Frontiers Comput. Neurosci. George Azzopardi, Nicolai Petkov
2013	—	`conf`	A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits. CAIP (2) George Azzopardi, Nicolai Petkov
2013	J	`jnl`	Adaptive Matrices and Filters for Color Texture Classification. J. Math. Imaging Vis. Ioannis Giotis, Kerstin Bunte, Nicolai Petkov, Michael Biehl
2013	J	`jnl`	Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ. Comput. Methods Programs Biomed. Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez
2013	J	`jnl`	Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. Pattern Recognit. Lett. George Azzopardi, Nicolai Petkov
2013	—	`conf`	COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition. BrainComp George Azzopardi, Nicolai Petkov
2013	J	`jnl`	Generating personalized advice for schizophrenia patients. Artif. Intell. Medicine Ando Emerencia, Lian van der Krieke, Sjoerd Sytema, Nicolai Petkov, Marco Aiello
2012	J	`jnl`	A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. Biol. Cybern. George Azzopardi, Nicolai Petkov
2012	J	`jnl`	Cluster-based adaptive metric classification. Neurocomputing Ioannis Giotis, Nicolai Petkov
2012	—	`conf`	Contour Detection by CORF Operator. ICANN (1) George Azzopardi, Nicolai Petkov
2012	J	`jnl`	Corrigendum to "Cluster-based adaptive metric classification" [Neurocomputing 81 (2012) 33-40]. Neurocomputing Ioannis Giotis, Nicolai Petkov
2012	—	`conf`	Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters. ICIAR (2) George Azzopardi, Nicolai Petkov
2012	B	`conf`	Detection of retinal vascular bifurcations by rotation-, scale- and reflection-invariant COSFIRE filters. CBMS George Azzopardi, Nicolai Petkov
2012	J	`jnl`	New Families of Fourier Eigenfunctions for Steerable Filtering. IEEE Trans. Image Process. Giuseppe Papari, Patrizio Campisi, Nicolai Petkov
2011	—	`conf`	Adaptive Matrices for Color Texture Classification. CAIP (2) Kerstin Bunte, Ioannis Giotis, Nicolai Petkov, Michael Biehl
2011	J	`jnl`	An improved model for surround suppression by steerable filters and multilevel inhibition with application to contour detection. Pattern Recognit. Giuseppe Papari, Nicolai Petkov
2011	J	`jnl`	CAIP - Computer Analysis of Images and Patterns. Pattern Recognit. Nicolai Petkov, Xiaoyi Jiang
2011	—	`conf`	Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters. CAIP (1) George Azzopardi, Nicolai Petkov
2011	J	`jnl`	Edge and line oriented contour detection: State of the art. Image Vis. Comput. Giuseppe Papari, Nicolai Petkov
2011	J	`jnl`	Learning effective color features for content based image retrieval in dermatology. Pattern Recognit. Kerstin Bunte, Michael Biehl, Marcel F. Jonkman, Nicolai Petkov
2010	B	`conf`	Closed form of the steered elongated Hermite-Gauss wavelets. ICIP Giuseppe Papari, Patrizio Campisi, Nicolai Petkov
2010	B	`conf`	Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection. ICPR Giuseppe Papari, Patrizio Campisi, Nicolai Petkov
2009	B	`conf`	Adaptive Metrics for Content Based Image Retrieval in Dermatology. ESANN Kerstin Bunte, Michael Biehl, Nicolai Petkov, Marcel F. Jonkman
2009	C	`ed.`	Computer Analysis of Images and Patterns, 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009. Proceedings CAIP Xiaoyi Jiang, Nicolai Petkov
2009	—	`conf`	Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images. Similarity-Based Clustering Lidia Sánchez, Nicolai Petkov
2009	C	`conf`	Glass Patterns and Artistic Imaging. PSIVT Giuseppe Papari, Nicolai Petkov
2009	C	`conf`	Reduced Inverse Distance Weighting Interpolation for Painterly Rendering. CAIP Giuseppe Papari, Nicolai Petkov
2008	J	`jnl`	Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection. IEEE Trans. Image Process. Giuseppe Papari, Nicolai Petkov
2008	J	`jnl`	Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ. Comput. Biol. Medicine Enrique Alegre, Michael Biehl, Nicolai Petkov, Lidia Sánchez
2008	—	`conf`	Fast multiresolution contour completion. Image Processing: Algorithms and Systems Giuseppe Papari, Nicolai Petkov
2007	J	`jnl`	A Biologically Motivated Multiresolution Approach to Contour Detection. EURASIP J. Adv. Signal Process. Giuseppe Papari, Patrizio Campisi, Nicolai Petkov, Alessandro Neri
2007	J	`jnl`	Artistic Edge and Corner Enhancing Smoothing. IEEE Trans. Image Process. Giuseppe Papari, Nicolai Petkov, Patrizio Campisi
2007	C	`conf`	Edge and corner preserving smoothing for artistic imaging. IPAS Giuseppe Papari, Nicolai Petkov, Patrizio Campisi
2007	J	`jnl`	Motion detection, noise reduction, texture suppression, and contour enhancement by spatiotemporal Gabor filters with surround inhibition. Biol. Cybern. Nicolai Petkov, Easwar Subramanian
2007	C	`conf`	Multilevel surround inhibition: a biologically inspired contour detector. IPAS Giuseppe Papari, Patrizio Campisi, Nicolai Petkov
2006	B	`conf`	Classification of Boar Sperm Head Images using Learning Vector Quantization. ESANN Michael Biehl, Piter Pasma, Marten Pijl, Lidia Sánchez, Nicolai Petkov
2006	B	`conf`	Contour Detection by Multiresolution Surround Inhibition. ICIP Giuseppe Papari, Patrizio Campisi, Nicolai Petkov, Alessandro Neri
2006	—	`conf`	Contour detection by surround inhibition in the Circular Harmonic Functions domain. EUSIPCO Giuseppe Papari, Patrizio Campisi, Nicolai Petkov, Alessandro Neri
2006	—	`conf`	Contour detection by surround suppression of texture. CompIMAGE Nicolai Petkov
2006	J	`jnl`	Effect of High Curvature Point Deletion on the Performance of Two Contour Based Shape Recognition Algorithms. Int. J. Pattern Recognit. Artif. Intell. Anarta Ghosh, Nicolai Petkov
2005	J	`jnl`	A cognitive evaluation procedure for contour based shape descriptors . Int. J. Hybrid Intell. Syst. Anarta Ghosh, Nicolai Petkov
2005	—	`conf`	Algorithm That Mimics Human Perceptual Grouping of Dot Patterns. BVAI Giuseppe Papari, Nicolai Petkov
2005	C	`conf`	Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution. CIARP Lidia Sánchez, Nicolai Petkov, Enrique Alegre
2005	—	`conf`	Incomplete Contour Representations and Shape Descriptors: ICR Test Studies. BVAI Anarta Ghosh, Nicolai Petkov
2005	J	`jnl`	Robustness of Shape Descriptors to Incomplete Contour Representations. IEEE Trans. Pattern Anal. Mach. Intell. Anarta Ghosh, Nicolai Petkov
2005	C	`conf`	Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution. CAIP Lidia Sánchez, Nicolai Petkov, Enrique Alegre
2004	J	`jnl`	Contour and boundary detection improved by surround suppression of texture edges. Image Vis. Comput. Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg
2004	C	`conf`	GAP Test: A Cognitive Evaluation Procedure for Shape Descriptors. HIS Anarta Ghosh, Nicolai Petkov
2003	C	`ed.`	Computer Analysis of Images and Patterns, 10th International Conference, CAIP 2003, Groningen, The Netherlands, August 25-27, 2003, Proceedings CAIP Nicolai Petkov, Michel A. Westenberg
2003	J	`jnl`	Contour detection based on nonclassical receptive field inhibition. IEEE Trans. Image Process. Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg
2003	—	`conf`	Contour detection operators based on surround inhibition. ICIP (3) Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg
2003	J	`jnl`	Distance sets for shape filters and shape recognition. IEEE Trans. Image Process. Cosmin Grigorescu, Nicolai Petkov
2003	J	`jnl`	Suppression of contour perception by band-limited noise and its relation to nonclassical receptive field inhibition. Biol. Cybern. Nicolai Petkov, Michel A. Westenberg
2003	Misc	`conf`	The Role of Non-CRF Inhibition in Contour Detection. WSCG Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg
2002	J	`jnl`	Comparison of texture features based on Gabor filters. IEEE Trans. Image Process. Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga
2002	—	`conf`	Improved Contour Detection by Non-classical Receptive Field Inhibition. Biologically Motivated Computer Vision Cosmin Grigorescu, Nicolai Petkov, Michel A. Westenberg
2001	J	`jnl`	Hyper-systolic matrix multiplication. Parallel Comput. Thomas Lippert, Nicolai Petkov, Paolo Palazzari, Klaus Schilling
2000	B	`conf`	A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance. ICPR Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga
2000	B	`conf`	A Nonlinear Texture Operator Specialized in the Analysis of Dot-Patterns. ICPR Peter Kruizinga, Nicolai Petkov
2000	B	`conf`	Fast Atomic Decomposition by the Inhibition Method. ICPR Arthur E. C. Pece, Nicolai Petkov
2000	B	`conf`	Graph-Based Features for Texture Discrimination. ICPR Cosmin Grigorescu, Nicolai Petkov
1999	Misc	`conf`	Comparison of Texture Features Based on Gabor Filters. ICIAP Peter Kruizinga, Nicolai Petkov, Simona E. Grigorescu
1999	—	`conf`	Nonlinear operator for blob texture segmentation. NSIP Peter Kruizinga, Nicolai Petkov
1999	J	`jnl`	Nonlinear operator for oriented texture. IEEE Trans. Image Process. Peter Kruizinga, Nicolai Petkov
1998	B	`conf`	Grating cell operator features for oriented texture segmentation. ICPR Peter Kruizinga, Nicolai Petkov
1998	J	`jnl`	Hyper-Systolic Matrix Multiplication CoRR Thomas Lippert, Nicolai Petkov, Paolo Palazzari, Klaus Schilling
1997	—	`conf`	BLAS-3 for the Quadrics Parallel Computer. HPCN Europe Thomas Lippert, Nicolai Petkov, Klaus Schilling
1995	Misc	`conf`	A Computational Model of Periodic-Pattern-Selective Cells. IWANN Peter Kruizinga, Nicolai Petkov
1995	—	`conf`	Biologically motivated self-organizing image classification system. HPCN Europe Nicolai Petkov
1995	—	`conf`	Person identification based on multiscale matching of cortical images. HPCN Europe Peter Kruizinga, Nicolai Petkov
1995	Misc	`conf`	Use of Cortical Filters and Neural Networks in a Self-Organising Image Classification System. ICIAP Nicolai Petkov
1994	—	`conf`	Conceiving Computationally Intensive Approaches to Vision (Invited Paper). HPCN Nicolai Petkov
1994	J	`jnl`	Large scale natural vision simulations. Future Gener. Comput. Syst. Tino Lourens, Nicolai Petkov, Peter Kruizinga
1994	—	`conf`	Optical Flow Applied to Person Identification. EUROSIM Peter Kruizinga, Nicolai Petkov
1993	Misc	`conf`	Biologically Motivated Approach to Face Recognition. IWANN Nicolai Petkov, Peter Kruizinga, Tino Lourens
1993	—	`conf`	Face Recognition on the Connection Machine CM-5. PARCO Nicolai Petkov, Peter Kruizinga, Tino Lourens
1992	J	`jnl`	Quark propagator on the Connection Machine. Parallel Comput. Thomas Lippert, Klaus Schilling, Nicolai Petkov
1992	J	`jnl`	Statistical analysis of simulation-generated time series: Systolic vs. semi-systolic correlation on the Connection Machine. Parallel Comput. T. Dontje, Thomas Lippert, Nicolai Petkov, Klaus Schilling