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ECCV
2004
Springer
16 years 5 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
161
Voted
TNN
2011
200views more  TNN 2011»
14 years 10 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
123
Voted
FOCS
2007
IEEE
15 years 9 months ago
On the Hardness and Smoothed Complexity of Quasi-Concave Minimization
In this paper, we resolve the smoothed and approximative complexity of low-rank quasi-concave minimization, providing both upper and lower bounds. As an upper bound, we provide th...
Jonathan A. Kelner, Evdokia Nikolova
113
Voted
INFSOF
2002
85views more  INFSOF 2002»
15 years 3 months ago
A methodology of testing high-level Petri nets
Petri nets have been extensively used in the modelling and analysis of concurrent and distributed systems. The veri
Hong Zhu, Xudong He
CVPR
2003
IEEE
16 years 5 months ago
Joint Manifold Distance: a new approach to appearance based clustering
We wish to match sets of images to sets of images where both sets are undergoing various distortions such as viewpoint and lighting changes. To this end we have developed a Joint ...
Andrew W. Fitzgibbon, Andrew Zisserman