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RECOMB
2002
Springer
16 years 1 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
ECCV
2004
Springer
16 years 3 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
CIKM
2009
Springer
15 years 5 months ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
COLING
1996
15 years 2 months ago
An Automatic Clustering of Articles Using Dictionary Definitions
In this paper, we propose a statistical approach for clustering of artMes using on-line dictionary definitions. One of the characteristics of our approach is that every sense of w...
Fumiyo Fukumoto, Yoshimi Suzuki
COLING
1996
15 years 2 months ago
Learning Part-of-Speech Guessing Rules from Lexicon: Extension to Non-Concatenative Operations
One of the problems in part-of-speech tagging of real-word texts is that of unknown to the lexicon words. In (Mikheev, 1996), a technique for fully unsupervised statistical acquis...
Andrei Mikheev