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» Beam sampling for the infinite hidden Markov model
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BMCBI
2007
115views more  BMCBI 2007»
13 years 5 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
ASSETS
2006
ACM
13 years 11 months ago
American sign language recognition in game development for deaf children
CopyCat is an American Sign Language (ASL) game, which uses gesture recognition technology to help young deaf children practice ASL skills. We describe a brief history of the game...
Helene Brashear, Valerie L. Henderson, Kwang-Hyun ...
BMCBI
2010
229views more  BMCBI 2010»
13 years 5 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
FAST
2010
13 years 7 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
PR
2007
149views more  PR 2007»
13 years 4 months ago
Real-time detection of steam in video images
In this paper, we present a real-time image processing technique for the detection of steam in video images. The assumption made is that the presence of steam acts as a blurring p...
Ricardo J. Ferrari, H. Zhang, C. R. Kube