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» Learning Distance Functions using Equivalence Relations
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MVA
2000
172views Computer Vision» more  MVA 2000»
13 years 11 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
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
DATE
2005
IEEE
122views Hardware» more  DATE 2005»
14 years 3 months ago
Diagnostic and Detection Fault Collapsing for Multiple Output Circuits
We discuss fault equivalence and dominance relations for multiple output combinational circuits. The conventional definition for equivalence says that “Two faults are equivalen...
Raja K. K. R. Sandireddy, Vishwani D. Agrawal
CICLING
2009
Springer
14 years 10 months ago
Semantic Clustering for a Functional Text Classification Task
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Thomas Lippincott, Rebecca J. Passonneau
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 4 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou