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» Experiments with a New Boosting Algorithm
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159
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ICCV
2009
IEEE
15 years 2 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
118
Voted
JMLR
2010
100views more  JMLR 2010»
14 years 11 months ago
Discriminative Topic Segmentation of Text and Speech
We explore automated discovery of topicallycoherent segments in speech or text sequences. We give two new discriminative topic segmentation algorithms which employ a new measure o...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
CVPR
1998
IEEE
16 years 6 months ago
An Optimized Interaction Strategy for Bayesian Relevance Feedback
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka...
WEBI
2005
Springer
15 years 10 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
HAIS
2010
Springer
15 years 2 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...