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» Melody Spotting Using Hidden Markov Models
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RIAO
2000
15 years 5 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...

Publication
363views
14 years 3 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
201
Voted
CVPR
2012
IEEE
13 years 6 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
INTERSPEECH
2010
14 years 11 months ago
HMM-based text-to-articulatory-movement prediction and analysis of critical articulators
In this paper we present a method to predict the movement of a speaker's mouth from text input using hidden Markov models (HMM). We have used a corpus of human articulatory m...
Zhen-Hua Ling, Korin Richmond, Junichi Yamagishi
BMCBI
2005
302views more  BMCBI 2005»
15 years 4 months ago
CGHPRO - A comprehensive data analysis tool for array CGH
Background: Array CGH (Comparative Genomic Hybridisation) is a molecular cytogenetic technique for the genome wide detection of chromosomal imbalances. It is based on the cohybrid...
Wei Chen, Fikret Erdogan, H.-Hilger Ropers, Steffe...