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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
Jiliang Tang, Huan Liu
CDC
2009
IEEE
228views Control Systems» more  CDC 2009»
13 years 11 months ago
A novel algorithm for refinement of vision-based two-view pose estimates
A novel method is developed to obtain a refined estimate of relative position and orientation (pose) from two views captured by a calibrated monocular camera. Due to the typically ...
Siddhartha S. Mehta, Prabir Barooah, Sara Susca, W...
RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
CVPR
2006
IEEE
14 years 9 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
ACL
2009
13 years 5 months ago
A Novel Discourse Parser Based on Support Vector Machine Classification
This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
David duVerle, Helmut Prendinger