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IJIT
2004
15 years 7 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
CORR
2011
Springer
210views Education» more  CORR 2011»
15 years 1 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
181
Voted
ICPR
2010
IEEE
16 years 1 months ago
Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
Thilo Stadelmann, Bernd Freisleben
ICASSP
2011
IEEE
14 years 10 months ago
Gaussian Mixture Modeling of vowel durations for automated assessment of non-native speech
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...
Xie Sun, Keelan Evanini
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
15 years 4 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang