Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning

Spatio-activity based object detection

Spatiotemporal Gabor filters: a new method for dynamic texture recognition

Spectral descriptors for deformable shapes

Speech Recognition: Increasing Efficiency of Support Vector Machines

Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape

Stable image reconstruction using total variation minimization

Statistical Compressed Sensing of Gaussian Mixture Models

Statistical Compressive Sensing of Gaussian Mixture Models

Statistical efficiency of curve fitting algorithms

Statistical region-based active contours with exponential family observations

Steps Towards a Theory of Visual Information: Active Perception, Signal-to-Symbol Conversion and the Interplay Between Sensing and Control

Stochastic-Based Pattern Recognition Analysis

Streaming an image through the eye: The retina seen as a dithered scalable image coder

Structure from Motion: Theoretical Foundations of a Novel Approach Using Custom Built Invariants

Studying Satellite Image Quality Based on the Fusion Techniques

Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints

Substructure and Boundary Modeling for Continuous Action Recognition

Supervised Dictionary Learning

Supervised Generative Reconstruction: An Efficient Way To Flexibly Store and Recognize Patterns