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» Learning Gaussian Process Models from Uncertain Data
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125
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COGSCI
2010
125views more  COGSCI 2010»
15 years 2 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
CVPR
2009
IEEE
16 years 9 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
108
Voted
CSDA
2010
122views more  CSDA 2010»
15 years 2 months ago
Nonparametric density estimation for positive time series
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
Taoufik Bouezmarni, Jeroen V. K. Rombouts
110
Voted
CICLING
2010
Springer
15 years 9 months ago
Computational Models of Language Acquisition
Abstract. Child language acquisition, one of Nature’s most fascinating phenomena, is to a large extent still a puzzle. Experimental evidence seems to support the view that early ...
Shuly Wintner
ECCV
2002
Springer
16 years 4 months ago
Audio-Video Sensor Fusion with Probabilistic Graphical Models
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
Matthew J. Beal, Hagai Attias, Nebojsa Jojic