We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
A very fast, low complexity algorithm for resolution scalable and random access decoding is presented. The algorithm avoids the multiple passes of bit-plane coding for speed impro...
Mesh simplification algorithms play an important role in computer graphics. In particular, view-dependent simplification methods are utilized widely to reduce the geometric comp...
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Gan...
We propose an integral image based algorithm to extract feature covariance matrices of all possible rectangular regions within a given image. Covariance is an essential indicator ...