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» Hidden Markov Modelling Techniques for Haplotype Analysis
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SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
14 years 8 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
CSL
2011
Springer
13 years 3 months ago
The subspace Gaussian mixture model - A structured model for speech recognition
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
ICPR
2010
IEEE
13 years 6 months ago
A Novel Approach to Detect Ship-Radiated Signal Based on HMT
In the presence of non-gaussian noise, we propose a method for the detection of underwater shipradiated signal. The wavelet decomposition of the underwater signal yields a natural...
Yue Zhou, Zhibin Niu, Chenghao Wang
ICDAR
2003
IEEE
14 years 1 months ago
On-line Signature Verification Using Local Shape Analysis
This paper presents a novel approach to the on-line signature verification using local shape Analysis. First, segment the input signature into several segments using HMM (Hidden M...
Mingfu Zou, Jianjun Tong, Changping Liu, Zhenglian...
CVPR
2000
IEEE
14 years 10 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg