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» Learning the Relative Importance of Features in Image Data
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142
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ICML
2009
IEEE
16 years 4 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
141
Voted
NAACL
2010
15 years 1 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
122
Voted
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
15 years 9 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
146
Voted
ICPR
2010
IEEE
15 years 3 months ago
Detection of Salient Image Points Using Principal Subspace Manifold Structure
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
António R. C. Paiva, Tolga Tasdizen
PR
2007
127views more  PR 2007»
15 years 3 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....