Predrag Neskovic

28 papers B 6Misc 1Journal 6Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
ViT-5: Vision Transformers for The Mid-2020s.
CoRR
Feng Wang, Sucheng Ren, Tiezheng Zhang, Predrag Neskovic, Anand Bhattad, Cihang Xie, Alan L. Yuille
2009 J jnl
Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions.
Neurocomputing
Predrag Neskovic, Ian Sherman, Liang Wu, Leon N. Cooper
2008 B conf
A probabilistic model for classifying segmented images.
ICPR
Liang Wu, Predrag Neskovic, Leon N. Cooper
2008 B conf
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process.
ICPR
Haijun Ren, Liang Wu, Predrag Neskovic, Leon N. Cooper
2007 J jnl
Bayes classification based on minimum bounding spheres.
Neurocomputing
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2007 — conf
Classifying EEG Data into Different Memory Loads Across Subjects.
ICANN (2)
Liang Wu, Predrag Neskovic
2007 B conf
Classifying n-back EEG data using entropy and mutual information features.
ESANN
Liang Wu, Predrag Neskovic, Etienne Reyes, Elena Festa, Heindel William
2007 B conf
Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process.
ESANN
Liang Wu, Predrag Neskovic
2007 — conf
How Important are the Sizes and Locations of Fixation Regions for the BIAS Model?
ICNC (2)
Predrag Neskovic, Ian Sherman, Liang Wu, Leon N. Cooper
2007 J jnl
Improving nearest neighbor rule with a simple adaptive distance measure.
Pattern Recognit. Lett.
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2007 — ch.
Selecting Data for Fast Support Vector Machines Training.
Trends in Neural Computation
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2006 — conf
A Minimum Sphere Covering Approach to Pattern Classification.
ICPR (3)
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2006 — conf
Biologically Inspired Bayes Learning and Its Dependence on the Distribution of the Receptive Fields.
ICNC (1)
Liang Wu, Predrag Neskovic, Leon N. Cooper
2006 — conf
Biologically Inspired Hierarchical Model for Feature Extraction and Localization.
ICPR (1)
Liang Wu, Predrag Neskovic, Leon N. Cooper
2006 — conf
Improving Nearest Neighbor Rule with a Simple Adaptive Distance Measure.
ICNC (1)
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2006 — conf
Learning by Integrating Information Within and Across Fixations.
ICANN (2)
Predrag Neskovic, Liang Wu, Leon N. Cooper
2006 J jnl
Neighborhood size selection in the
Pattern Recognit.
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2005 Misc conf
A Statistical Confidence-Based Adaptive Nearest Neighbor Algorithm for Pattern Classification.
ICMLC
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2005 — conf
A probabilistic model for cursive handwriting recognition using spatial context.
ICASSP (5)
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2005 J jnl
An Integration of Online and Pseudo-Online Information for Cursive Word Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Tal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic
2005 — conf
Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence.
ICNC (1)
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2005 B conf
Pattern Classification via Single Spheres.
Discovery Science
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2005 — conf
Training Data Selection for Support Vector Machines.
ICNC (1)
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2005 — conf
Visual Search for Object Features.
ICNC (1)
Predrag Neskovic, Leon N. Cooper
2004 B conf
Context-based tracking of object features.
IJCNN
Jigang Wang, Predrag Neskovic, Leon N. Cooper
2001 — conf
Using Contextual Information to Selectively Adjust Preprocessing Parameters.
IWANN (2)
Predrag Neskovic, Leon N. Cooper
2000 — conf
Interactive Parts Model: An Application to Recognition of On-line Cursive Script.
NIPS
Predrag Neskovic, Philip C. Davis, Leon N. Cooper
1994 — conf
Three-Dimensional Shape Representation from Curvature Dependent Surface Evolution.
ICIP (1)
Predrag Neskovic, Benjamin B. Kimia