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» Embedding Heterogeneous Data Using Statistical Models
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ISI
2006
Springer
13 years 10 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
JMLR
2010
191views more  JMLR 2010»
13 years 5 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
ICPR
2008
IEEE
14 years 5 months ago
Object boundary extraction using Active B-Snake Model
A new deformable model called Active B-Snake Model (ABM) is presented for object boundary extraction. First, an affine-invariant landmark point assignment strategy is proposed to ...
Yue Wang, Eam Khwang Teoh, Zujun Hou, Jian-Gang Wa...
ICCV
2007
IEEE
15 years 22 days ago
Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees
Models of activity structure for unconstrained environments are generally not available a priori. Recent representational approaches to this end are limited by their computational...
Raffay Hamid, Siddhartha Maddi, Aaron F. Bobick, I...
ACL
2007
14 years 7 days ago
Randomised Language Modelling for Statistical Machine Translation
A Bloom filter (BF) is a randomised data structure for set membership queries. Its space requirements are significantly below lossless information-theoretic lower bounds but it ...
David Talbot, Miles Osborne