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» Learning the Relative Importance of Features in Image Data
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165
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DAGM
2007
Springer
15 years 8 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
MICCAI
2008
Springer
16 years 5 months ago
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
Vikas Singh, Lopamudra Mukherjee, Moo K. Chung
143
Voted
CSCW
2002
ACM
15 years 4 months ago
Making web sites be places for social interaction
Technology can play an important role in enabling people to interact with each other. The Web is one such technology with the affordances for sharing information and for connectin...
Andreas Girgensohn, Alison Lee
JMLR
2011
167views more  JMLR 2011»
14 years 11 months ago
Logistic Stick-Breaking Process
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
Lu Ren, Lan Du, Lawrence Carin, David B. Dunson
121
Voted
MICCAI
2009
Springer
16 years 5 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....