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158
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AAAI
2012
13 years 5 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
134
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NIPS
2008
15 years 4 months ago
2008
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
120
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IPMI
1999
Springer
16 years 4 months ago
1999
Springer
Inspired by the discussion in neurological research about the callosal fiber connections with respect to brain asymmetry we developed a technique that measures distances between br...
113
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SMA
1993
ACM
15 years 7 months ago
1993
ACM
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
143
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ICMI
2010
Springer
15 years 1 months ago
2010
Springer
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...