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» Class Separability in Spaces Reduced By Feature Selection
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CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 6 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...
ICSE
2000
IEEE-ACM
14 years 7 days ago
Workshop on multi-dimensional separation of concerns in software engineering
Separation of concerns has been central to software engineering for decades, yet its many advantages are still not fully realized. A key reason is that traditional modularization ...
Peri L. Tarr, William H. Harrison, Harold Ossher, ...
TON
2008
160views more  TON 2008»
13 years 8 months ago
Label space reduction in MPLS networks: how much can a single stacked label do?
Most network operators have considered reducing LSR label spaces (number of labels used) as a way of simplifying management of underlaying Virtual Private Networks (VPNs) and there...
Fernando Solano, Thomas Stidsen, Ramón Fabr...
SLSFS
2005
Springer
14 years 2 months ago
Generalization Bounds for Subspace Selection and Hyperbolic PCA
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
Andreas Maurer
FSKD
2007
Springer
161views Fuzzy Logic» more  FSKD 2007»
14 years 2 months ago
A KFCM-Based Fuzzy Classifier
A proposed KFCM-based fuzzy classifier was introduced. As for the process of constructing such classifier, firstly, the original sample space is mapped into a high dimensional fea...
Aimin Yang, Lingmin Jiang, Yongmei Zhou