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» The Global Dimensionality of Face Space
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VLDB
2000
ACM
229views Database» more  VLDB 2000»
13 years 10 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
NIPS
1997
13 years 7 months ago
Mapping a Manifold of Perceptual Observations
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Joshua B. Tenenbaum
ICDE
2007
IEEE
228views Database» more  ICDE 2007»
14 years 19 days ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
CORR
2006
Springer
242views Education» more  CORR 2006»
13 years 6 months ago
Matching Edges in Images ; Application to Face Recognition
: This communication describes a representation of images as a set of edges characterized by their position and orientation. This representation allows the comparison of two images...
Joël Le Roux, Philippe Chaurand, Mickael Urru...
PAMI
2006
132views more  PAMI 2006»
13 years 6 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu