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» Learning to Learn Causal Models
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178
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CVPR
2008
IEEE
16 years 9 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
270
Voted
ICIP
2005
IEEE
16 years 8 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
HICSS
2005
IEEE
162views Biometrics» more  HICSS 2005»
16 years 14 days ago
An Agent-Based Approach to Study Virtual Learning Communities
This paper focuses on agent-based approach to study the relationship between the individual behavior of participants and the overall development of a virtual community, to help pe...
Yiwen Zhang, Mohan Tanniru
ICNC
2005
Springer
16 years 11 days ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 11 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...