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PR
2008
124views more  PR 2008»
13 years 10 months ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
BMCBI
2002
133views more  BMCBI 2002»
13 years 10 months ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
BMCBI
2010
99views more  BMCBI 2010»
13 years 10 months ago
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
Background: It has been apparent in the last few years that small non coding RNAs (ncRNA) play a very significant role in biological regulation. Among these microRNAs (miRNAs), 22...
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, As...
DAC
1996
ACM
14 years 2 months ago
Application of a Markov Model to the Measurement, Simulation, and Diagnosis of an Iterative Design Process
- This paper presents the use of a Markov-based model for analyzing iterative design processes. Techniques are developed for collecting process metadata and calibrating the model. ...
Eric W. Johnson, Luis A. Castillo, Jay B. Brockman
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Automatic Semantic Annotation of Images using Spatial Hidden Markov Model
This paper presents a new spatial-HMM(SHMM)for automatically classifying and annotating natural images. Our model is a 2D generalization of the traditional HMM in the sense that b...
Feiyang Yu, Horace Ho-Shing Ip