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ICASSP
2008
IEEE
15 years 4 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
ICCV
2007
IEEE
15 years 4 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
IJCAI
1997
14 years 11 months ago
On the Efficient Classification of Data Structures by Neural Networks
Marco Gori Dipartimento di Ingegneria deU'Informazione Universita di Siena Via Roma 56 53100 Siena, Italy Alessandro Sperduti Dipartimento di Informatica Universita di Pisa C...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
ICIP
2009
IEEE
15 years 11 months ago
Isocentric Color Saliency In Images
In this paper we propose a novel computational method to infer visual saliency in images. The computational method is based on the idea that salient objects should have local char...
SASO
2008
IEEE
15 years 4 months ago
Self-Organization of Creole Community in Spatial Language Dynamics
Creolization is a self-organization process of new language community. Thus far, a simulation study of the emergence of creoles has been reported in the mathematical framework. In...
Makoto Nakamura, Takashi Hashimoto, Satoshi Tojo