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» Word Importance Discrimination Using Context Information
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CVPR
2008
IEEE
16 years 14 hour ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
APN
2008
Springer
15 years 11 hour ago
Modeling and Analysis of Security Protocols Using Role Based Specifications and Petri Nets
Abstract. In this paper, we introduce a framework composed of a syntax and its compositional Petri net semantics, for the specification and verification of properties (like authent...
Roland Bouroulet, Raymond R. Devillers, Hanna Klau...
DMIN
2006
114views Data Mining» more  DMIN 2006»
14 years 11 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
EMNLP
2010
14 years 8 months ago
Latent-Descriptor Clustering for Unsupervised POS Induction
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...
Michael Lamar, Yariv Maron, Elie Bienenstock
ECIR
2010
Springer
14 years 11 months ago
Query Difficulty Prediction for Contextual Image Retrieval
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Xing Xing, Yi Zhang 0001, Mei Han