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FGR
2004
IEEE
87views Biometrics» more  FGR 2004»
14 years 1 months ago
Transition Movement Models for Large Vocabulary Continuous Sign Language Recognition
The major challenges that sign language recognition (SLR) now faces are developing methods that solve large vocabulary continuous sign problems. In this paper, large vocabulary co...
Wen Gao, Gaolin Fang, Debin Zhao, Yiqiang Chen
IBPRIA
2003
Springer
14 years 3 months ago
Chromosome Classification Using Continuous Hidden Markov Models
Up-to-date results on the application of Markov models to chromosome analysis are presented. On the one hand, this means using continuous Hidden Markov Models (HMMs) instead of dis...
César Martínez, Héctor Garc&i...
BPM
2008
Springer
164views Business» more  BPM 2008»
13 years 12 months ago
Analyzing Business Continuity through a Multi-layers Model
Business Continuity Management (BCM) is a process to manage risks, emergencies, and recovery plans of an organization during a crisis. It results in a document called Business Cont...
Yudistira Asnar, Paolo Giorgini
NIPS
1998
13 years 11 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 1 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia