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» Spectral Latent Variable Models for Perceptual Inference
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NIPS
2004
13 years 10 months ago
Similarity and Discrimination in Classical Conditioning: A Latent Variable Account
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
Aaron C. Courville, Nathaniel D. Daw, David S. Tou...
ECCV
2010
Springer
14 years 1 months ago
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
ICML
2010
IEEE
13 years 9 months ago
Exploiting Data-Independence for Fast Belief-Propagation
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
Julian John McAuley, Tibério S. Caetano
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
14 years 2 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
JMLR
2010
159views more  JMLR 2010»
13 years 3 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov