Predrag Neskovic - researchr alias

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2009

Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regionsPredrag Neskovic, Ian Sherman, Liang Wu, Leon N. Cooper. ijon, 72(13-15):2915-2922, 2009. [doi]

2008

Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet ProcessHaijun Ren, Liang Wu, Predrag Neskovic, Leon N. Cooper. icpr 2008: 1-4 [doi]

A probabilistic model for classifying segmented imagesLiang Wu, Predrag Neskovic, Leon N. Cooper. icpr 2008: 1-4 [doi]

2007

Selecting Data for Fast Support Vector Machines TrainingJigang Wang, Predrag Neskovic, Leon N. Cooper. In Ke Chen, Lipo Wang, editors, Trends in Neural Computation. Volume 35 of Studies in Computational Intelligence, pages 61-84, Springer, 2007. [doi]

Improving nearest neighbor rule with a simple adaptive distance measureJigang Wang, Predrag Neskovic, Leon N. Cooper. prl, 28(2):207-213, 2007. [doi]

Bayes classification based on minimum bounding spheresJigang Wang, Predrag Neskovic, Leon N. Cooper. ijon, 70(4-6):801-808, 2007. [doi]

Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic processLiang Wu, Predrag Neskovic. esann 2007: 567-572 [doi]

Classifying EEG Data into Different Memory Loads Across SubjectsLiang Wu, Predrag Neskovic. icann 2007: 149-158 [doi]

Classifying n-back EEG data using entropy and mutual information featuresLiang Wu, Predrag Neskovic, Etienne Reyes, Elena Festa, Heindel William. esann 2007: 61-66 [doi]

2006

Learning by Integrating Information Within and Across FixationsPredrag Neskovic, Liang Wu, Leon N. Cooper. icann (empty year): 488-497 [doi]

A Minimum Sphere Covering Approach to Pattern ClassificationJigang Wang, Predrag Neskovic, Leon N. Cooper. icpr 2006: 433-436 [doi]

Neighborhood size selection in the ::::k::::-nearest-neighbor rule using statistical confidenceJigang Wang, Predrag Neskovic, Leon N. Cooper. PR, 39(3):417-423, 2006. [doi]

Improving Nearest Neighbor Rule with a Simple Adaptive Distance MeasureJigang Wang, Predrag Neskovic, Leon N. Cooper. icnc 2006: 43-46 [doi]

Biologically Inspired Bayes Learning and Its Dependence on the Distribution of the Receptive FieldsLiang Wu, Predrag Neskovic, Leon N. Cooper. icnc 2006: 279-288 [doi]

Biologically Inspired Hierarchical Model for Feature Extraction and LocalizationLiang Wu, Predrag Neskovic, Leon N. Cooper. icpr 2006: 259-262 [doi]

2005

Visual Search for Object FeaturesPredrag Neskovic, Leon N. Cooper. icnc 2005: 877-887 [doi]

An Integration of Online and Pseudo-Online Information for Cursive Word RecognitionTal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic. pami, 27(5):669-683, 2005. [doi]

Pattern Classification via Single SpheresJigang Wang, Predrag Neskovic, Leon N. Cooper. dis 2005: 241-252 [doi]

Training Data Selection for Support Vector MachinesJigang Wang, Predrag Neskovic, Leon N. Cooper. icnc 2005: 554-564 [doi]

A Statistical Confidence-Based Adaptive Nearest Neighbor Algorithm for Pattern ClassificationJigang Wang, Predrag Neskovic, Leon N. Cooper. icmlc 2006: 548-557 [doi]

Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical ConfidenceJigang Wang, Predrag Neskovic, Leon N. Cooper. icnc 2005: 71-80 [doi]

2001

Using Contextual Information to Selectively Adjust Preprocessing ParametersPredrag Neskovic, Leon N. Cooper. iwann 2001: 696-703 [doi]

2000

Interactive Parts Model: An Application to Recognition of On-line Cursive ScriptPredrag Neskovic, Philip C. Davis, Leon N. Cooper. nips 2001: 974-980

1994

Three-Dimensional Shape Representation from Curvature Dependent Surface EvolutionPredrag Neskovic, Benjamin B. Kimia. icip 1994: 6-10