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» Learning Image Components for Object Recognition
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ICPR
2008
IEEE
15 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
80
Voted
IJON
2006
109views more  IJON 2006»
14 years 9 months ago
Associative memory of connectivity patterns
The goal of the visual correspondence problem is to establish a connectivity pattern (a mapping) between two images such that features projected from the same scene point are conn...
Junmei Zhu, Christoph von der Malsburg
107
Voted
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
14 years 10 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
SIGIR
2004
ACM
15 years 3 months ago
A search engine for historical manuscript images
Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available...
Toni M. Rath, R. Manmatha, Victor Lavrenko
IJCAI
2003
14 years 11 months ago
Use of Off-line Dynamic Programming for Efficient Image Interpretation
An interpretation system finds the likely mappings from portions of an image to real-world objects. An interpretation policy specifies when to apply which imaging operator, to whi...
Ramana Isukapalli, Russell Greiner