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NIPS
2003
13 years 10 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
NIPS
2003
13 years 10 months ago
Bayesian Color Constancy with Non-Gaussian Models
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
IPM
2006
77views more  IPM 2006»
13 years 9 months ago
A general matrix framework for modelling Information Retrieval
Content-oriented retrieval models are based on a document-term matrix, whereas link-oriented retrieval models are based on an adjacent (parentchild) matrix. Term frequency and inv...
Thomas Rölleke, Theodora Tsikrika, Gabriella ...
IJWET
2007
114views more  IJWET 2007»
13 years 8 months ago
A comprehensive design model for integrating business processes in web applications
: Web applications have evolved from simple read-only websites to complex data- and operation-intensive systems. The main goal of this kind of application is to provide the users w...
Damiano Distante, Gustavo Rossi, Gerardo Canfora, ...
TASLP
2008
90views more  TASLP 2008»
13 years 8 months ago
Efficient Realization of Wave Digital Components for Physical Modeling and Sound Synthesis
Wave digital filters (WDFs) were originally developed for robust discrete-time simulation of analog filters, but recently they have been applied successfully to modeling of physica...
Matti Karjalainen