Pattern Recognition

Learning and Classification.- MAP-Inference for Highly-Connected Graphs with DC-Programming.- Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation.- Simple Incremental One-Class Support Vector Classification.- A Multiple Kernel Learning Approach to Joint Multi-class Object Detection.- Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields.- Boosting for Model-Based Data Clustering.- Improving the Run-Time Performance of Multi-class Support Vector Machines.- Sliding-Windows for Rapid Object Class Localization: A Parallel Technique.- A Performance Evaluation of Single and Multi-feature People Detection.- Tracking.- Model-Based Motion Capture for Crash Test Video Analysis.- Efficient Tracking as Linear Program on Weak Binary Classifiers.- A Comparison of Region Detectors for Tracking.- Combining Densely Sampled Form and Motion for Human Action Recognition.- Recognition and Tracking of 3D Objects.- Medical Image Processing and Segmentation.- Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification.- Real-Time Neighborhood Based Disparity Estimation Incorporating Temporal Evidence.- A Novel Approach for Detection of Tubular Objects and Its Application to Medical Image Analysis.- Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma.- A Probabilistic Segmentation Scheme.- Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data.- Space-Time Multi-Resolution Banded Graph-Cut for Fast Segmentation.- Combination of Multiple Segmentations by a Random Walker Approach.- Audio, Speech and Handwriting Recognition.- Automatic Detection of Learnability under Unreliable and Sparse User Feedback.- Novel VQ Designs for Discrete HMM On-Line Handwritten Whiteboard Note Recognition.- Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition.- Natural Language Understanding by Combining Statistical Methods