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» On the Optimality of the Dimensionality Reduction Method
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ICIP
2005
IEEE
16 years 7 months ago
Saveface and Sirface: appearance-based recognition of faces and facial expressions
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
Yangrong Ling, Suchendra M. Bhandarkar, Xiangrong ...
ICML
2006
IEEE
16 years 7 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
AAAI
2008
15 years 8 months ago
AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
Robert Speer, Catherine Havasi, Henry Lieberman
CORR
2010
Springer
122views Education» more  CORR 2010»
15 years 6 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
15 years 4 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...