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» Learning from Multiple Annotators with Gaussian Processes
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CIS
2005
Springer
14 years 26 days ago
Two Adaptive Matching Learning Algorithms for Independent Component Analysis
Independent component analysis (ICA) has been applied in many fields of signal processing and many ICA learning algorithms have been proposed from different perspectives. However...
Jinwen Ma, Fei Ge, Dengpan Gao
BMCBI
2007
175views more  BMCBI 2007»
13 years 7 months ago
Apollo2Go: a web service adapter for the Apollo genome viewer to enable distributed genome annotation
Background: Apollo, a genome annotation viewer and editor, has become a widely used genome annotation and visualization tool for distributed genome annotation projects. When using...
Kathrin Klee, Rebecca Ernst, Manuel Spannagl, Klau...
AVSS
2009
IEEE
14 years 2 months ago
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling
This paper presents a background segmentation technique, which is able to process acceptable segmentation masks under fast global illumination changes. The histogram of the frame-...
Julien A. Vijverberg, Marijn J. H. Loomans, Cornel...
NIPS
2008
13 years 8 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
CORR
2006
Springer
107views Education» more  CORR 2006»
13 years 7 months ago
Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the Order Optimality of Separation
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
Nan Liu, Sennur Ulukus