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109
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HIS
2004
15 years 2 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
94
Voted
INFOCOM
2003
IEEE
15 years 5 months ago
A Distributed and Adaptive Signal Processing Approach to Reducing Energy Consumption in Sensor Networks
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
Jim Chou, Dragan Petrovic, Kannan Ramchandran
112
Voted
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 5 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
123
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JMM2
2008
228views more  JMM2 2008»
15 years 16 days ago
Adaptive AC-Coefficient Prediction for Image Compression and Blind Watermarking
In this work, an adaptive image compression algorithm is proposed based on the prediction of AC coefficients in Discrete Cosine Transform (DCT) block during reconstruction of image...
Kilari Veera Swamy, S. Srinivas Kumar
ICASSP
2011
IEEE
14 years 4 months ago
Nonbinary LDPC decoding by min-sum with Adaptive Message Control
— A new decoding algorithm, referred to as Min-Sum with Adaptive Message Control (AMC-MS), is proposed to reduce the decoding complexity of nonbinary LDPC codes. The proposed alg...
Weiguo Tang, Jie Huang, Lei Wang, Shengli Zhou