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» Learning from Multiple Annotators with Gaussian Processes
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CVPR
2008
IEEE
16 years 5 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
146
Voted
ISBI
2006
IEEE
15 years 9 months 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 4 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,...
117
Voted
AMR
2005
Springer
117views Multimedia» more  AMR 2005»
15 years 9 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...
157
Voted
NIPS
2008
15 years 5 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