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PAKDD
2000
ACM
15 years 2 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
SIGUCCS
2000
ACM
15 years 2 months ago
2000
ACM
Knowledge Management is a necessary and integral part of an effective and successful support organization, yet it is also a buzzword that is perhaps over-hyped and over-used. How ...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Detecting contour closure, i.e., finding a cycle of disconnected contour fragments that separates an object from its background, is an important problem in perceptual gro...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
AAAI
2008
15 years 29 days ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...