Sciweavers

511 search results - page 80 / 103
» The intrinsic dimensionality of graphs
Sort
View
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 10 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
CIVR
2007
Springer
169views Image Analysis» more  CIVR 2007»
14 years 4 months ago
Whitened LDA for face recognition
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Vo Dinh Minh Nhat, Sungyoung Lee, Hee Yong Youn
CEC
2005
IEEE
14 years 3 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
MMM
2005
Springer
163views Multimedia» more  MMM 2005»
14 years 3 months ago
Parallel Image Matrix Compression for Face Recognition
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
Dong Xu, Shuicheng Yan, Lei Zhang, Mingjing Li, We...
KDD
2004
ACM
213views Data Mining» more  KDD 2004»
14 years 3 months ago
Analytical view of business data
This paper describes a logical extension to Microsoft Business Framework (MBF) called Analytical View (AV). AV consists of three components: Model Service for design time, Busines...
Adam Yeh, Jonathan Tang, Youxuan Jin, Sam Skrivan