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NIPS
2001
13 years 5 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
JPDC
2008
217views more  JPDC 2008»
13 years 4 months ago
Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Antonio J. Plaza
KAIS
2006
126views more  KAIS 2006»
13 years 4 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
WWW
2004
ACM
14 years 5 months ago
Anti-aliasing on the web
It is increasingly common for users to interact with the web using a number of different aliases. This trend is a doubleedged sword. On one hand, it is a fundamental building bloc...
Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 5 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...