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ICIP
1999
IEEE
13 years 9 months ago
Forward Adaptive Modeling for Context-Based Compression of Large Binary Images in Applications Requiring Spatial Access
A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forwa...
Eugene I. Ageenko, Pasi Fränti
ACL
2009
13 years 3 months ago
A Succinct N-gram Language Model
Efficient processing of tera-scale text data is an important research topic. This paper proposes lossless compression of Ngram language models based on LOUDS, a succinct data stru...
Taro Watanabe, Hajime Tsukada, Hideki Isozaki
DCC
2007
IEEE
13 years 11 months ago
Data Hiding based Compression Mechanism for 3D Models
: The paper proposes a lossy compression mechanism for 3D models (3D meshes) by improving existing compression mechanism such as progressive meshes and single refinement mesh compr...
Hui Li, Parag Agarwal, Balakrishnan Prabhakaran
DCC
2004
IEEE
14 years 5 months ago
Universal Coding of Function Spaces as a Model for Signal Compression
We address the problem of signal compression, basing on the mathematical model, in which a set of all possible signals is considered as a function space with a metric . The main a...
Boris Ryabko, Jaakko Astola
ACL
2006
13 years 6 months ago
Constraint-Based Sentence Compression: An Integer Programming Approach
The ability to compress sentences while preserving their grammaticality and most of their meaning has recently received much attention. Our work views sentence compression as an o...
James Clarke, Mirella Lapata