This paper describes the use of motif contour classes for efficient retrieval of melodies from music collections. Instead of extracting incipits or themes, complete monophonic pi...
We introduce a novel framework for automatic detection of repeated patterns in real images. The novelty of our work is to formulate the extraction of an underlying deformed lattice...
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sampl...
—This paper presents a methodology and a tool for automatic synthesis of highly efficient intrusion detection systems using a high-level, graph-based partitioning methodology and...
The All Nearest Neighbor (ANN) operation is a commonly used primitive for analyzing large multi-dimensional datasets. Since computing ANN is very expensive, in previous works R*-t...