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» Learning Generic Prior Models for Visual Computation
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133
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CVPR
2009
IEEE
16 years 9 months ago
An Empirical Bayes Approach to Contextual Region Classification
This paper presents a nonparametric approach to labeling of local image regions that is inspired by recent developments in information-theoretic denoising. The chief novelty of ...
Svetlana Lazebnik (UNC Chapel Hill), Maxim Raginsk...
123
Voted
ACII
2007
Springer
15 years 6 months ago
Learning to Interact with the Caretaker: A Developmental Approach
To build autonomous robots able to live and interact with humans in a real-world dynamic and uncertain environment, the design of architectures permitting robots to develop attachm...
Antoine Hiolle, Lola Cañamero, Arnaud J. Bl...
122
Voted
SIGIR
2005
ACM
15 years 8 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
109
Voted
CGF
2008
149views more  CGF 2008»
15 years 2 months ago
Image-based Aging Using Evolutionary Computing
Aging has considerable visual effects on the human face and is difficult to simulate using a universally-applicable global model. In this paper, we focus on the hypothesis that th...
Daniel Hubball, Min Chen, Phil W. Grant
129
Voted
ICCV
2007
IEEE
16 years 4 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...