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» Advances in Mixture Models
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JSC
2006
102views more  JSC 2006»
15 years 4 months ago
Counting and locating the solutions of polynomial systems of maximum likelihood equations, I
In statistics, mixture models consisting of several component subpopulations are used widely to model data drawn from heterogeneous sources. In this paper, we consider maximum lik...
Max-Louis G. Buot, Donald St. P. Richards
TASLP
2008
124views more  TASLP 2008»
15 years 4 months ago
Semantic Annotation and Retrieval of Music and Sound Effects
We present a computer audition system that can both annotate novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of unlabeled audio c...
Douglas Turnbull, Luke Barrington, D. Torres, Gert...
ICASSP
2008
IEEE
15 years 10 months ago
Target detection and identification using canonical correlation analysis and subspace partitioning
We present a data-driven approach for target detection and identification based on a linear mixture model. Our aim is to determine the existence of certain targets in a mixture w...
Wei Wang 0018, Tülay Adali, Darren Emge
ICASSP
2011
IEEE
14 years 8 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
CSL
2006
Springer
15 years 4 months ago
Product of Gaussians for speech recognition
Recently there has been interest in the use of classifiers based on the product of experts (PoE) framework. PoEs offer an alternative to the standard mixture of experts (MoE) fram...
M. J. F. Gales, S. S. Airey