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NIPS
2004
13 years 10 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
ECCV
2010
Springer
14 years 1 months ago
Building Compact Local Pairwise Codebook with Joint Feature Space Clustering
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
BMCBI
2005
97views more  BMCBI 2005»
13 years 8 months ago
Clustering the annotation space of proteins
Background: Current protein clustering methods rely on either sequence or functional similarities between proteins, thereby limiting inferences to one of these areas. Results: Her...
Victor Kunin, Christos A. Ouzounis
LCPC
2007
Springer
14 years 2 months ago
Supporting Huge Address Spaces in a Virtual Machine for Java on a Cluster
Abstract. To solve problems that require far more memory than a single machine can supply, data can be swapped to disk in some manner, it can be compressed, and/or the memory of mu...
Ronald Veldema, Michael Philippsen
CASCON
2006
150views Education» more  CASCON 2006»
13 years 10 months ago
Exploring a new space of features for document classification: figure clustering
Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
Nawei Chen, Hagit Shatkay, Dorothea Blostein