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» Expressiveness of ADL and Golog: Functions Make a Difference
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BMCBI
2005
140views more  BMCBI 2005»
13 years 7 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
KDD
2003
ACM
130views Data Mining» more  KDD 2003»
14 years 7 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
MVA
2000
172views Computer Vision» more  MVA 2000»
13 years 8 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
ER
1998
Springer
115views Database» more  ER 1998»
13 years 11 months ago
Temporal Objects for Spatio-Temporal Data Models and a Comparison of Their Representations
Abstract: Currently, there are strong efforts to integrate spatial and temporal database technology into spatio-temporal database systems. This paper views the topic from a rather ...
Martin Erwig, Markus Schneider, Ralf Hartmut G&uum...
NECO
2000
190views more  NECO 2000»
13 years 7 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar