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DCC
2004
IEEE
15 years 9 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
71
Voted
PICS
2001
14 years 11 months ago
High Quality MRC Document Coding
The mix raster content (MRC) model can be used to implement highly effective document compression algorithms. However, many MRC based methods which achieve high compression ratio ...
Guotong Feng, Charles A. Bouman, Hui Cheng
ACL
2006
14 years 11 months ago
Models for Sentence Compression: A Comparison across Domains, Training Requirements and Evaluation Measures
Sentence compression is the task of producing a summary at the sentence level. This paper focuses on three aspects of this task which have not received detailed treatment in the l...
James Clarke, Mirella Lapata
ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
EACL
1993
ACL Anthology
14 years 11 months ago
Data-Oriented Methods for Grapheme-to-Phoneme Conversion
It is traditionally assumed that various sources of linguistic knowledge and their interaction should be formalised in order to be able to convert words into their phonemic repres...
Antal van den Bosch, Walter Daelemans