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AIPS
2011
14 years 11 months ago
Cross-Domain Action-Model Acquisition for Planning via Web Search
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...
Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li
NIPS
2004
15 years 8 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
249
Voted
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
189
Voted
ECCV
2006
Springer
16 years 9 months ago
Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
Abstract. Active Appearance Models (AAM) are compact representations of the shape and appearance of objects. Fitting AAMs to images is a difficult, non-linear optimization task. Tr...
Göksel Dedeoglu, Simon Baker, Takeo Kanade
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 7 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...