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Found 5 papers, 0 papers with code
Convex Combination Belief Propagation Algorithms
We present new message passing algorithms for performing inference with graphical models.
Direct Estimation of Appearance Models for Segmentation
Our approach is based on novel algebraic expressions that relate local image statistics to the appearance of spatially coherent regions.
Clustering with Semidefinite Programming and Fixed Point Iteration
We also show the vertices are attractive fixed points of iterated linear optimization.
Generalized Majorization-Minimization
Majorization-Minimization (MM) is a powerful iterative procedure for optimizing non-convex functions that works by optimizing a sequence of bounds on the function.
Automatic Discovery and Optimization of Parts for Image Classification
First, a collection of informative parts is discovered, using heuristics that promote part distinctiveness and diversity, and then classifiers are trained on the vector of part responses.
