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» On the Learnability of Vector Spaces
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PAMI
2012
13 years 9 days ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
IIR
2010
14 years 11 months ago
An Ontological Representation of Documents and Queries for Information Retrieval Systems
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information o...
Mauro Dragoni, Célia da Costa Pereira, Andr...
ICRA
2006
IEEE
93views Robotics» more  ICRA 2006»
15 years 3 months ago
A SVM-based Method for Engine Maintenance Strategy Optimization
— Due to the abundant application background, the optimization of maintenance problem has been extensively studied in the past decades. Besides the well-known difficulty of larg...
Qing-Shan Jia, Qianchuan Zhao
IMAGING
2001
14 years 11 months ago
A Geometric Foundation of Colorimetry
The physical properties of color are usually described by their spectra, eigenvector expansions or low-dimensional descriptors such as RGB or CIE-Lab. In the first part of the pap...
Reiner Lenz
CVPR
2003
IEEE
15 years 12 months ago
Statistics of Shape via Principal Geodesic Analysis on Lie Groups
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
P. Thomas Fletcher, Conglin Lu, Sarang C. Joshi