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» Estimating Likelihoods for Topic Models
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ISMB
1998
13 years 11 months ago
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
Erik L. L. Sonnhammer, Gunnar von Heijne, Anders K...
JCB
2006
123views more  JCB 2006»
13 years 9 months ago
Reconstructing Ancestral Haplotypes with a Dictionary Model
We propose a dictionary model for haplotypes. According to the model, a haplotype is constructed by randomly concatenating haplotype segments from a given dictionary of segments. ...
Kristin L. Ayers, Chiara Sabatti, Kenneth Lange
ICCV
2007
IEEE
14 years 11 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
BMCBI
2008
186views more  BMCBI 2008»
13 years 10 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
CVPR
2007
IEEE
14 years 12 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury