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» Document Classification Using a Finite Mixture Model
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INTERSPEECH
2010
13 years 2 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 2 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
WIA
2005
Springer
14 years 1 months ago
Compressing XML Documents Using Recursive Finite State Automata
Abstract. We propose a scheme for automatically generating compressors for XML documents from Document Type Definition(DTD) specifications. Our algorithm is a lossless adaptive a...
Hariharan Subramanian, Priti Shankar
IJIT
2004
13 years 9 months ago
An Evaluation of Algorithms for Single-Echo Biosonar Target Classification
A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are...
Turgay Temel, John Hallam
ICDAR
2003
IEEE
14 years 1 months ago
Classification of Web Documents Using a Graph Model
In this paper we describe work relating to classification of web documents using a graph-based model instead of the traditional vector-based model for document representation. We ...
Adam Schenker, Mark Last, Horst Bunke, Abraham Kan...