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» Reduction Techniques for Instance-Based Learning Algorithms
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ICCCN
2008
IEEE
13 years 12 months ago
Control Message Reduction Techniques in Backward Learning Ad Hoc Routing Protocols
—Most existing wireless ad hoc routing protocols rely upon the use of backward learning technique with explicit control messages to route packets. In this paper we propose a set ...
Navodaya Garepalli, Kartik Gopalan, Ping Yang
PRL
2006
121views more  PRL 2006»
13 years 5 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie
JMM2
2008
92views more  JMM2 2008»
13 years 5 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
MLDM
2007
Springer
13 years 11 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
13 years 7 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye