Predrag Neskovic

According to our database1, Predrag Neskovic authored at least 25 papers between 1994 and 2009.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2009
Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions.
Neurocomputing, 2009

2008
A probabilistic model for classifying segmented images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Selecting Data for Fast Support Vector Machines Training.
Proceedings of the Trends in Neural Computation, 2007

Improving nearest neighbor rule with a simple adaptive distance measure.
Pattern Recognit. Lett., 2007

Bayes classification based on minimum bounding spheres.
Neurocomputing, 2007

How Important are the Sizes and Locations of Fixation Regions for the BIAS Model?
Proceedings of the Third International Conference on Natural Computation, 2007

Classifying EEG Data into Different Memory Loads Across Subjects.
Proceedings of the Artificial Neural Networks, 2007

Classifying n-back EEG data using entropy and mutual information features.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Neighborhood size selection in the <i>k</i>-nearest-neighbor rule using statistical confidence.
Pattern Recognit., 2006

Biologically Inspired Hierarchical Model for Feature Extraction and Localization.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Minimum Sphere Covering Approach to Pattern Classification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Biologically Inspired Bayes Learning and Its Dependence on the Distribution of the Receptive Fields.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Learning by Integrating Information Within and Across Fixations.
Proceedings of the Artificial Neural Networks, 2006

2005
An Integration of Online and Pseudo-Online Information for Cursive Word Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Training Data Selection for Support Vector Machines.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Visual Search for Object Features.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Statistical Confidence-Based Adaptive Nearest Neighbor Algorithm for Pattern Classification.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A probabilistic model for cursive handwriting recognition using spatial context.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Pattern Classification via Single Spheres.
Proceedings of the Discovery Science, 8th International Conference, 2005

2001
Using Contextual Information to Selectively Adjust Preprocessing Parameters.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
Interactive Parts Model: An Application to Recognition of On-line Cursive Script.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1994
Three-Dimensional Shape Representation from Curvature Dependent Surface Evolution.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994


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