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ICML
2008
IEEE
16 years 7 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
FCT
2005
Springer
15 years 11 months ago
The Complexity of Semilinear Problems in Succinct Representation
We prove completeness results for twenty-three problems in semilinear geometry. These results involve semilinear sets given by additive circuits as input data. If arbitrary real co...
Peter Bürgisser, Felipe Cucker, Paulin Jacob&...
ICML
2009
IEEE
16 years 7 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 6 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
CHI
2009
ACM
16 years 6 months ago
Product interest and engagement scale, beta (pies-beta): initial development
We report a work in progress: development and initial validation of the Product Interest and Engagement Scale (PIES), a short assessment instrument measuring consumer interest in ...
Christopher N. Chapman, Michal Lahav, Edwin Love, ...