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» Unsupervised scene analysis: A hidden Markov model approach
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MONET
2007
106views more  MONET 2007»
14 years 11 months ago
Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones
This paper explores the potential for use of an unaugmented commodity technology—the mobile phone— as a health promotion tool. We describe a prototype application that tracks t...
Ian Anderson, Julie Maitland, Scott Sherwood, Loui...
BMCBI
2005
89views more  BMCBI 2005»
14 years 11 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
15 years 11 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, ...
ICDAR
2007
IEEE
15 years 5 months ago
Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition
Free style Chinese handwriting recognition continues to pose a challenge to researchers due to the variety of Chinese writing styles. To recognize handwritten characters in an onl...
Y. Zhang, P. Liu, F. Soong
MICCAI
2008
Springer
16 years 20 days ago
Wall Motion Classification of Stress Echocardiography Based on Combined Rest-and-Stress Data
In this paper, we present a new framework that performs automated local wall motion analysis based on the combined information derived from a rest and stress sequence (a full stres...
Sarina Mansor, Nicholas P. Hughes, J. Alison Nob...