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» A Model Selection Approach for Local Learning
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UAI
2008
15 years 1 months ago
Observation Subset Selection as Local Compilation of Performance Profiles
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
Yan Radovilsky, Solomon Eyal Shimony
ISCAS
2006
IEEE
104views Hardware» more  ISCAS 2006»
15 years 5 months ago
Performance of time-frequency localized and frequency selective filter banks in multicarrier systems
— This paper studies filter bank based multicarrier data transmission over wireless mobile channel. A complex modulated filter bank, based on cosine and sine modulated filter ...
Ari Viholainen, Tero Ihalainen, Markku Renfors
ICNC
2005
Springer
15 years 5 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
CVPR
2001
IEEE
16 years 1 months ago
Learning Representative Local Features for Face Detection
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhan...
PAMI
2006
178views more  PAMI 2006»
14 years 11 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek