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JMLR
2006
125views more  JMLR 2006»
15 years 15 days ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
116
Voted
ECCV
2004
Springer
16 years 2 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
122
Voted
MICRO
2006
IEEE
113views Hardware» more  MICRO 2006»
15 years 15 days ago
Exploiting Fine-Grained Data Parallelism with Chip Multiprocessors and Fast Barriers
We examine the ability of CMPs, due to their lower onchip communication latencies, to exploit data parallelism at inner-loop granularities similar to that commonly targeted by vec...
Jack Sampson, Rubén González, Jean-F...
87
Voted
VMV
2008
120views Visualization» more  VMV 2008»
15 years 1 months ago
Interpolating and Downsampling RGBA Volume Data
For about twenty years the standard color sampling method for RGBA volume data has been the interpolation of opacity-weighted colors. In this work, we discuss the underlying appro...
Martin Kraus, Kai Bürger
113
Voted
ICMCS
2009
IEEE
150views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Directional filtering transform
This paper proposes the directional filtering transform (dFT, in order to distinguish from the common usage on DFT) to better exploit intra-frame correlation in H.264 intra-frame ...
Xiulian Peng, Feng Wu, Jizheng Xu