7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Background modeling and subtraction to detect new or moving objects in a scene is an important component of many intelligent video applications. Compared to a single camera, the u...
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos ...
Efficient multimodal fusion is a key feature of future video indexing systems. Hidden Markov Models provide a powerful framework for video structure analysis but they require all...
We present a framework for applying memoization selectively. The framework provides programmer control over equality, space usage, and identification of precise dependences so tha...