The use of local features in computer vision has shown to be promising. Local features have several advantages including invariance to image transformations, independence of the ba...
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
This paper discusses the topic of dimensionality reduction for k-means clustering. We prove that any set of n points in d dimensions (rows in a matrix A ∈ Rn×d ) can be project...
We present an index to search a two-dimensional pattern of size m m in a two-dimensional text of size n n, even when the pattern appears rotated in the text. The index is based on ...
Abstract. A prototype basketball video retrieval system is presented in this report. Retrieval is based on the similarity of ball motion in the clip with that in the query. The sys...