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» Learning from Multiple Annotators with Gaussian Processes
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CVPR
2008
IEEE
16 years 8 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
ISBI
2006
IEEE
16 years 5 days ago
Non-contact fluorescence optical tomography with scanning area illumination
This contribution describes a novel non-contact fluorescence optical tomography scheme which utilizes multiple area illumination patterns, to reduce the illposedness of the inver...
Amit Joshi, Wolfgang Bangerth, Eva M. Sevick-Murac...
ICML
2010
IEEE
15 years 7 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...
AMR
2005
Springer
117views Multimedia» more  AMR 2005»
15 years 11 months ago
Learning User Queries in Multimodal Dissimilarity Spaces
Abstract. Different strategies to learn user semantic queries from dissimilarity representations of video audio-visual content are presented. When dealing with large corpora of vi...
Eric Bruno, Nicolas Moënne-Loccoz, Sté...
NIPS
2008
15 years 7 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung