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» Hidden Markov Modelling Techniques for Haplotype Analysis
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CIVR
2003
Springer
166views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Evaluation of Expression Recognition Techniques
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, T...
GLOBECOM
2006
IEEE
14 years 2 months ago
Analysis of IEEE 802.11 DCF with Hidden Terminals
—The mandatory access mode in IEEE 802.11 MAC is Distributed Coordination Function (DCF), which provides both basic access and RTS/CTS(request-to-send/clear-to-send) access. Prev...
Haitao Wu, Fan Zhu, Qian Zhang, Zhisheng Niu
JMLR
2012
11 years 10 months ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
BMCBI
2008
103views more  BMCBI 2008»
13 years 8 months ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone
ECML
2005
Springer
14 years 1 months ago
Multi-view Discriminative Sequential Learning
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Ulf Brefeld, Christoph Büscher, Tobias Scheff...