98views more  BC 2004»
9 years 2 months ago
A stochastic model for the detection of coherent motion
A computational model is presented for the detection of coherent motion based on template matching and hidden Markov models. The premise of this approach is that the growth in dete...
Jason Lee, Willy Wong
100views more  BMCBI 2005»
9 years 2 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
108views more  BMCBI 2005»
9 years 2 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
99views more  IPM 2007»
9 years 2 months ago
Older versions of the ROUGEeval summarization evaluation system were easier to fool
We show some limitations of the ROUGE evaluation method for automatic summarization. We present a method for automatic summarization based on a Markov model of the source text. By...
Jonas Sjöbergh
155views more  SIGPRO 2008»
9 years 2 months ago
Recognition of off-line printed Arabic text using Hidden Markov Models
This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapp...
Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Rami Qahwa...
9 years 2 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
136views more  FTSIG 2007»
9 years 2 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
9 years 2 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
117views more  ESWA 2007»
9 years 2 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
116views more  BMCBI 2006»
9 years 2 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...