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CIRA
2007
IEEE
151views Robotics» more  CIRA 2007»
14 years 1 months ago
Image Clustering Using Visual and Text Keywords
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...
ELPUB
2006
ACM
14 years 1 months ago
A New Concept in High Resolution Internet Image Browsing
Various new imaging techniques have been used at the C2RMF, in order to digitize paintings and objects. These techniques are used for extensive and detailed non-destructive analys...
Denis Pitzalis, Ruven Pillay, Christian Lahanier
IJCV
2008
155views more  IJCV 2008»
13 years 7 months ago
Fast Transformation-Invariant Component Analysis
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
ICANN
1997
Springer
13 years 11 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer
PAMI
2011
13 years 2 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh