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TCSV
2008
195views more  TCSV 2008»
13 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ISCI
2007
130views more  ISCI 2007»
13 years 7 months ago
Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
BMCBI
2004
167views more  BMCBI 2004»
13 years 7 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...
DTJ
1998
171views more  DTJ 1998»
13 years 7 months ago
Measurement and Analysis of C and C++ Performance
ir increasing use of abstraction, modularity, delayed binding, polymorphism, and source reuse, especially when these attributes are used in combination. Modern processor architectu...
Hemant G. Rotithor, Kevin W. Harris, Mark W. Davis
PAMI
1998
116views more  PAMI 1998»
13 years 7 months ago
Scale-Space Derived From B-Splines
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Yu-Ping Wang, Seng Luan Lee