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» Point labeling with sliding labels
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109
Voted
ICCV
2007
IEEE
16 years 2 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
95
Voted
ICC
2009
IEEE
162views Communications» more  ICC 2009»
15 years 7 months ago
Design and Evaluation of a Multilevel Decoder for Satellite Communications
—In this paper, we propose a multilevel coding (MLC) scheme suitable for satellite communications, where different QoS levels are required. We introduce a novel characterization ...
Aharon Vargas, Marco Breiling, Wolfgang H. Gerstac...
114
Voted
ICCV
2011
IEEE
14 years 16 days ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
95
Voted
ICPR
2004
IEEE
16 years 1 months ago
Supervised Nonparametric Information Theoretic Classification
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
Cédric Archambeau, Jean-Philippe Thiran, Mi...
ICML
2009
IEEE
15 years 7 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski