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CACM
2011
120views more  CACM 2011»
13 years 4 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
ACL
2012
11 years 11 months ago
Distributional Semantics in Technicolor
Our research aims at building computational models of word meaning that are perceptually grounded. Using computer vision techniques, we build visual and multimodal distributional ...
Elia Bruni, Gemma Boleda, Marco Baroni, Nam-Khanh ...
CVPR
2012
IEEE
11 years 11 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
QEST
2010
IEEE
13 years 7 months ago
Fortuna: Model Checking Priced Probabilistic Timed Automata
We introduce Fortuna, the first tool for model checking priced probabilistic timed automata (PPTAs). Fortuna can handle the combination of real-time, probabilistic and cost feature...
Jasper Berendsen, David N. Jansen, Frits W. Vaandr...
PVLDB
2010
119views more  PVLDB 2010»
13 years 7 months ago
An Architecture for Parallel Topic Models
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
Alexander J. Smola, Shravan Narayanamurthy