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» Explanation-Based Learning for Image Understanding
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CVPR
2010
IEEE
14 years 1 months ago
ARISTA - Image Search to Annotation on Billions of Web Photos
Though it has cost great research efforts for decades, object recognition is still a challenging problem. Traditional methods based on machine learning or computer vision are stil...
Xin-Jing Wang, Ming Liu, Lei Zhang, Yi Li, Wei-Yin...
NIPS
2004
13 years 8 months ago
Assignment of Multiplicative Mixtures in Natural Images
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
Odelia Schwartz, Terrence J. Sejnowski, Peter Daya...
MM
2009
ACM
277views Multimedia» more  MM 2009»
14 years 2 months ago
Inferring semantic concepts from community-contributed images and noisy tags
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun ...
PSYCHNOLOGY
2008
97views more  PSYCHNOLOGY 2008»
13 years 7 months ago
Being Inside the Quantum Atom
This article explores the possibility of using dynamic Educational Virtual Environments (EVEs) for helping students with limited background in physics and mathematics to deeply un...
Assimina M. Kontogeorgiou, Joan Bellou, Tassos A. ...
ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Advertising based on users' photos
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) unde...
Xin-Jing Wang, Mo Yu, Lei Zhang 0001, Wei-Ying Ma