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» Measuring the Complexity of Classification Problems
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CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 8 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
JUCS
2007
95views more  JUCS 2007»
13 years 7 months ago
Using Place Invariants and Test Point Placement to Isolate Faults in Discrete Event Systems
: This paper describes a method of using Petri net P-invariants in system diagnosis. To model this process a net oriented fault classification is presented. Hence, the considered d...
Iwan Tabakow
MVA
1996
122views Computer Vision» more  MVA 1996»
13 years 9 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien
ICSE
2000
IEEE-ACM
13 years 11 months ago
Towards a taxonomy of software connectors
Software systems of today are frequently composed from prefabricated, heterogeneous components that provide complex functionality and engage in complex interactions. Existing rese...
Nikunj R. Mehta, Nenad Medvidovic, Sandeep Phadke
AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
13 years 10 months ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie