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» Learning Gaussian processes from multiple tasks
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ACCV
2006
Springer
15 years 5 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
126
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IUI
2006
ACM
15 years 9 months ago
SWISH: semantic analysis of window titles and switching history
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes y...
Nuria Oliver, Greg Smith, Chintan Thakkar, Arun C....
CSCW
2002
ACM
15 years 3 months ago
The use of visual information in shared visual spaces: informing the development of virtual co-presence
A shared visual workspace is one where multiple people can see the same objects at roughly the same time. We present findings from an experiment investigating the effects of share...
Robert E. Kraut, Darren Gergle, Susan R. Fussell
WSCG
2003
142views more  WSCG 2003»
15 years 4 months ago
Three-Dimensional Object Recognition: Statistical Approach
The design of a general purpose artificial vision system capable of recognizing arbitrarily complex threedimensional objects without human intervention is still a challenging task...
R. Abdul Salam, M. A. Rodrigues
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 7 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...