User:Venukannur/Books/Review Materials

Learning for tracking

 * Sparse matrix
 * Lp space
 * Compressed sensing
 * Multiple-instance learning
 * Boosting (machine learning)
 * AdaBoost
 * Mean shift
 * Proximal gradient methods for learning
 * K-SVD
 * Sparse approximation
 * Hough transform
 * Visual descriptors
 * Histogram of oriented gradients
 * Online machine learning
 * Random forest
 * GrabCut
 * Support vector machine
 * Kernel method