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» The Generalized Dimensionality Reduction Problem
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ENGL
2007
101views more  ENGL 2007»
14 years 9 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
JMLR
2010
186views more  JMLR 2010»
14 years 4 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 1 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
SPIRE
2007
Springer
15 years 3 months ago
Generalized LCS
The Longest Common Subsequence (LCS) is a well studied problem, having a wide range of implementations. Its motivation is in comparing strings. It has long been of interest to dev...
Amihood Amir, Tzvika Hartman, Oren Kapah, B. Riva ...
GMP
2006
IEEE
117views Solid Modeling» more  GMP 2006»
15 years 3 months ago
Two-Dimensional Selections for Feature-Based Data Exchange
Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we addre...
Ari Rappoport, Steven N. Spitz, Michal Etzion