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» Sampling Methods for Unsupervised Learning
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148
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CIVR
2008
Springer
239views Image Analysis» more  CIVR 2008»
15 years 4 months ago
Analyzing Flickr groups
There is an explosion of community-generated multimedia content available online. In particular, Flickr constitutes a 200-million photo sharing system where users participate foll...
Radu Andrei Negoescu, Daniel Gatica-Perez
119
Voted
COLING
2002
15 years 2 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 4 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
140
Voted
CVPR
2010
IEEE
15 years 8 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
115
Voted
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 8 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...