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KES
2000
Springer
15 years 7 months ago
Genetically optimised feedforward neural networks for speaker identification
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that m...
Richard C. Price, Jonathan P. Willmore, William J....
140
Voted
IJIT
2004
15 years 5 months ago
Evaluation of Algorithms for Sequential Decision in Biosonar Target Classification
A sequential decision problem, based on the task of identifying the species of trees given acoustic echo data collected from them, is considered with well-known stochastic classifi...
Turgay Temel, John Hallam
143
Voted
ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
15 years 1 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
PCM
2004
Springer
131views Multimedia» more  PCM 2004»
15 years 9 months ago
Vision-Based Sign Language Recognition Using Sign-Wise Tied Mixture HMM
Abstract. In this paper, a new sign-wise tied mixture HMM (SWTMHMM) is proposed and applied in vision-based sign language recognition (SLR). In the SWTMHMM, the mixture densities o...
Liangguo Zhang, Gaolin Fang, Wen Gao, Xilin Chen, ...
143
Voted
BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn