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CVPR
2008
IEEE
16 years 8 months ago
Unsupervised feature selection via distributed coding for multi-view object recognition
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
Chris Mario Christoudias, Raquel Urtasun, Trevor D...
ICPR
2008
IEEE
16 years 8 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
CVPR
2010
IEEE
15 years 8 months ago
Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact ima...
Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-...
CSE
2008
IEEE
15 years 8 months ago
ACN: An Associative Classifier with Negative Rules
Classification using association rules has added a new dimension to the ongoing research for accurate classifiers. Over the years, a number of associative classifiers based on pos...
Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md...
CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 6 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...