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» A Hidden Markov Model Information Retrieval System
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ISMIR
2001
Springer
196views Music» more  ISMIR 2001»
14 years 1 months ago
MUSART: Music Retrieval Via Aural Queries
MUSART is a research project developing and studying new techniques for music information retrieval. The MUSART architecture uses a variety of representations to support multiple ...
William P. Birmingham
AAAI
1990
13 years 10 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
IPM
2006
77views more  IPM 2006»
13 years 9 months ago
A general matrix framework for modelling Information Retrieval
Content-oriented retrieval models are based on a document-term matrix, whereas link-oriented retrieval models are based on an adjacent (parentchild) matrix. Term frequency and inv...
Thomas Rölleke, Theodora Tsikrika, Gabriella ...
LREC
2008
137views Education» more  LREC 2008»
13 years 10 months ago
Combining Multiple Models for Speech Information Retrieval
In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The...
Muath Alzghool, Diana Inkpen