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» Variability and Component Composition
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EACL
2006
ACL Anthology
13 years 9 months ago
Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
Ayman Farahat, Francine Chen
ICASSP
2010
IEEE
13 years 5 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
VISUALIZATION
2003
IEEE
14 years 1 months ago
Conveying Shape and Features with Image-Based Relighting
Hand-crafted illustrations are often more effective than photographs for conveying the shape and important features of an object, but they require expertise and time to produce. W...
David Akers, Frank Losasso, Jeff Klingner, Maneesh...
CVPR
2006
IEEE
14 years 9 months ago
Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms
This paper introduces a complete pipeline of image processing methods in order to analyze and track the internal structures of a composite material. As a first step, input Xray im...
David Tschumperlé, Jalal Fadili
CHI
2007
ACM
14 years 8 months ago
Computational composites
A computational composite is a material in which computations contribute to the properties of the material through their capability to control transitions between states in the oth...
Anna Vallgårda, Johan Redström