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» More generality in efficient multiple kernel learning
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ECML
2006
Springer
13 years 11 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham
ICCV
2009
IEEE
15 years 16 days ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
CHI
2004
ACM
14 years 8 months ago
WinCuts: manipulating arbitrary window regions for more effective use of screen space
Each window on our computer desktop provides a view into some information. Although users can currently manipulate multiple windows, we assert that being able to spatially arrange...
Desney S. Tan, Brian Meyers, Mary Czerwinski
CVPR
2007
IEEE
14 years 9 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
JMLR
2010
152views more  JMLR 2010»
13 years 2 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...