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NIPS
2008
13 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ICPR
2010
IEEE
14 years 12 days ago
Using Sequential Context for Image Analysis
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...
Antonio Paiva, Elizabeth Jurrus, Tolga Tasdizen
EMNLP
2006
13 years 8 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
IJCNN
2007
IEEE
14 years 1 months ago
Default ARTMAP 2
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
Gregory P. Amis, Gail A. Carpenter
IJON
2006
82views more  IJON 2006»
13 years 6 months ago
Ratio rule and homomorphic filter for enhancement of digital colour image
Digital colour image enhancement using a homomorphic filter provides good dynamic range compression, but it fails in colour rendition. In this letter, we propose to perform natura...
Ming-Jung Seow, Vijayan K. Asari