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112
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IPM
2007
95views more  IPM 2007»
15 years 1 months ago
Using structural contexts to compress semistructured text collections
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
Joaquín Adiego, Gonzalo Navarro, Pablo de l...
SCALESPACE
2001
Springer
15 years 6 months ago
Down-Scaling for Better Transform Compression
Abstract. The most popular lossy image compression method used on the Internet is the JPEG standard. JPEG’s good compression performance and low computational and memory complexi...
Alfred M. Bruckstein, Michael Elad, Ron Kimmel
WWW
2008
ACM
15 years 1 months ago
Divide, Compress and Conquer: Querying XML via Partitioned Path-Based Compressed Data Blocks
We propose a novel Partition Path-Based (PPB) grouping strategy to store compressed XML data in a stream of blocks. In addition, we employ a minimal indexing scheme called Block S...
Wilfred Ng, Ho Lam Lau, Aoying Zhou
IJCNN
2006
IEEE
15 years 8 months ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier
96
Voted
ICIP
2005
IEEE
16 years 3 months ago
A context adaptation model for the compression of images with a reduced number of colors
Recently, Chen et al. proposed a method for compressing color-quantized images that is based on a binary tree representation of colors and on context-based arithmetic coding with ...
António J. R. Neves, Armando J. Pinho