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EMNLP
2009
13 years 5 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
CGO
2009
IEEE
13 years 11 months ago
Procedural Abstraction with Reverse Prefix Trees
Stefan Schäckeler, Weijia Shang
BMCBI
2008
125views more  BMCBI 2008»
13 years 7 months ago
A fast algorithm for the multiple genome rearrangement problem with weighted reversals and transpositions
Background: Due to recent progress in genome sequencing, more and more data for phylogenetic reconstruction based on rearrangement distances between genomes become available. Howe...
Martin Bader, Mohamed Ibrahim Abouelhoda, Enno Ohl...
DCC
2009
IEEE
14 years 8 months ago
Clustered Reversible-KLT for Progressive Lossy-to-Lossless 3d Image Coding
The RKLT is a lossless approximation to the KLT, and has been recently employed for progressive lossy-to-lossless coding of hyperspectral images. Both yield very good coding perfo...
Ian Blanes, Joan Serra-Sagristà
ASWEC
2000
IEEE
14 years 2 days ago
ReVis: Reverse Engineering by Clustering and Visual Object Classification
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt