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 and Extended Context-Free Grammars.- Multiview Geometry and 3D-Reconstruction.- Photoconsistent Relative Pose Estimation between a PMD 2D3D-Camera and Multiple Intensity Cameras.- Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach.- 3D Body Scanning in a Mirror Cabinet.- On Sparsity Maximization in Tomographic Particle Image Reconstruction.- Resolution Enhancement of PMD Range Maps.- A Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow.- Motion and Matching.- Decomposition of Quadratic Variational Problems.- A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry.- Optical Rails.- Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting.- An Evolutionary Approach for Learning Motion Class Patterns.- Relative Pose Estimation from Two Circles.- Staying Well Grounded in Markerless Motion Capture.- An Unbiased Second-Order Prior for High-Accuracy Motion Estimation.- Physically Consistent Variational Denoising of Image Fluid Flow Estimates.- Convex Hodge Decomposition of Image Flows.- Image Analysis.- Image Tagging Using PageRank over Bipartite Graphs.- On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering.- Comparing Local Feature Descriptors in pLSA-Based Image Models.- Example-Based Learning for Single-Image Super-Resolution.- Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation.- Deterministic Defuzzification Based on Spectral Projected Gradient Optimization.- Learning Visual Compound Models from Parallel Image-Text Datasets.- Measuring Plant Root Growth.- A Local Discriminative Model for Background Subtraction.- Perspective Shape from Shading with Non-Lambertian Reflectance.- The Conformal Monogenic Signal.