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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 8 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
CIKM
2005
Springer
14 years 28 days ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
ITCC
2003
IEEE
14 years 20 days ago
Dictionary-Based Fast Transform for Text Compression
In this paper we present StarNT, a dictionary-based fast lossless text transform algorithm. With a static generic dictionary, StarNT achieves a superior compression ratio than alm...
Weifeng Sun, Nan Zhang 0005, Amar Mukherjee
IDEAS
2006
IEEE
82views Database» more  IDEAS 2006»
14 years 1 months ago
A similarity based approach for integrated Web caching and content replication in CDNs
Web caching and content replication techniques emerged to solve performance problems related to the Web. We propose a generic non-parametric heuristic method that integrates both ...
Konstantinos Stamos, George Pallis, Charilaos Thom...
IPPS
2006
IEEE
14 years 1 months ago
Mapping DSP applications on processor systems with coarse-grain reconfigurable hardware
In this paper, we present performance results from mapping five real-world DSP applications on an embedded system-on-chip that incorporates coarse-grain reconfigurable logic with ...
Michalis D. Galanis, Grigoris Dimitroulakos, Const...