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» A New Class Based Associative Classification Algorithm
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126
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ICCV
2005
IEEE
16 years 4 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
117
Voted
ICML
2009
IEEE
16 years 3 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
133
Voted
MOBIHOC
2000
ACM
15 years 5 months ago
An architecture for building self-configurable systems
AbstractDeveloping wireless sensor networks can enable information gathering, information processing and reliable monitoring of a variety of environments for both civil and militar...
Lakshminarayanan Subramanian, Randy H. Katz
132
Voted
ICML
2010
IEEE
15 years 3 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
ESANN
2008
15 years 3 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...