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SOCO
2008
Springer
15 years 6 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
ASE
2005
102views more  ASE 2005»
15 years 6 months ago
Tool-Supported Verification of Product Line Requirements
A recurring difficulty for organizations that employ a product-line approach to development is that when a new product is added to an existing product line, there is currently no a...
Prasanna Padmanabhan, Robyn R. Lutz
194
Voted
ISCI
2002
118views more  ISCI 2002»
15 years 6 months ago
Hyper-rectangle based segmentation and clustering of large video data sets
Video information processing has been one of great challenging areas in the database community since it needs huge amount of storage space and processing power. In this paper, we ...
Seok-Lyong Lee, Chin-Wan Chung
SPEECH
1998
118views more  SPEECH 1998»
15 years 6 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
SPEECH
1998
171views more  SPEECH 1998»
15 years 6 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou