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JMLR
2006
105views more  JMLR 2006»
14 years 11 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 9 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
EDOC
2003
IEEE
15 years 5 months ago
How MDA Can Help Designing Component- and Aspect-based Applications
Distributed systems are inherently complex, and therefore difficult to design and develop. Experience shows that new technologies—such as components, aspects, and application f...
Lidia Fuentes, Mónica Pinto, Antonio Vallec...
ICA
2007
Springer
15 years 6 months ago
Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
HICSS
2006
IEEE
98views Biometrics» more  HICSS 2006»
15 years 5 months ago
Electricity Markets: How Many, Where and When?
Most markets compromise the economist’s ideal of matching the marginal benefits to consumers with the marginal cost of supply for incremental purchases because individual buyers...
Nodir Adilov, Richard E. Schuler