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» A learning framework for nearest neighbor search
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ESWA
2008
134views more  ESWA 2008»
14 years 8 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
CORR
2007
Springer
113views Education» more  CORR 2007»
14 years 9 months ago
On the Outage Capacity of a Practical Decoder Using Channel Estimation Accuracy
— The optimal decoder achieving the outage capacity under imperfect channel estimation is investigated. First, by searching into the family of nearest neighbor decoders, which ca...
Pablo Piantanida, Sajad Sadough, Pierre Duhamel
CORR
2007
Springer
109views Education» more  CORR 2007»
14 years 9 months ago
On the Outage Capacity of a Practical Decoder Accounting for Channel Estimation Inaccuracies
—The optimal decoder achieving the outage capacity under imperfect channel estimation is investigated. First, by searching into the family of nearest neighbor decoders, which can...
Pablo Piantanida, Sajad Sadough, Pierre Duhamel
100
Voted
CVPR
2008
IEEE
15 years 11 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss