I Probabilistic and Informational Approaches Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application A Computational Approach to Fisher Information Geometry with Applications to Image Analysis Optimizing the Cauchy Schwarz PDF Distance for Information Theoretic, Nonparametric Clustering Concurrent Stereo Matching: An Image Noise Driven Model Color Correction of Underwater Images for Aquatic Robot Inspection Bayesian Image Segmentation Using Gaussian Field Priors Handling Missing Data in the Computation of 3D Affine Transformations MaximumLikelihood Estimation of Biological Growth Variables DeformableModel Based Textured Object Segmentation Total Variation Minimization and a Class of Binary MRF Models Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study II Combinatorial Approaches Probabilistic Subgraph Matching Based on Convex Relaxation Relaxation of Hard Classification Targets for LSE Minimization Linear Programming Matching and Appearance-Adaptive Object Tracking Extraction of Layers of Similar Motion Through Combinatorial Techniques Object Categorization by Compositional Graphical Models Learning Hierarchical Shape Models from Examples Discontinuity Preserving Phase Unwrapping Using Graph Cuts Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra Spatio-temporal Segmentation Using Dominant Sets Stable Bounded Canonical Sets and Image Matching Coined Quantum Walks Lift the Cospectraity of Graphs and Trees III Variational Appraoaches IV Other Approaches and Applications Subject Inedx Author Index |
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