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» Subspace Gaussian Mixture Models for speech recognition
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ISBI
2004
IEEE
15 years 10 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
78
Voted
ICASSP
2008
IEEE
15 years 4 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
GIS
2010
ACM
14 years 7 months ago
Probabilistic modeling of traffic lanes from GPS traces
Instead of traditional ways of creating road maps, an attractive alternative is to create a map based on GPS traces of regular drivers. One important aspect of this approach is to...
Yihua Chen, John Krumm
116
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
15 years 10 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
81
Voted
ICASSP
2010
IEEE
14 years 10 months ago
Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
Class posterior distributions have recently been used quite successfully in Automatic Speech Recognition (ASR), either for frame or phone level classification or as acoustic featu...
Afsaneh Asaei, Benjamin Picart, Hervé Bourl...