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» Local Supervised Learning through Space Partitioning
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ICPP
1998
IEEE
13 years 12 months ago
A memory-layout oriented run-time technique for locality optimization
Exploiting locality at run-time is a complementary approach to a compiler approach for those applications with dynamic memory access patterns. This paper proposes a memory-layout ...
Yong Yan, Xiaodong Zhang, Zhao Zhang
TKDE
2008
112views more  TKDE 2008»
13 years 7 months ago
IDD: A Supervised Interval Distance-Based Method for Discretization
This paper introduces a new method for supervised discretization based on interval distances by using a novel concept of neighborhood in the target's space. The proposed metho...
Francisco J. Ruiz, Cecilio Angulo, Núria Ag...
ACL
2010
13 years 5 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 7 months ago
Feature Level Clustering of Large Biometric Database
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
ICML
2005
IEEE
14 years 8 months ago
Interactive learning of mappings from visual percepts to actions
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Justus H. Piater, Sébastien Jodogne