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» Text Classification Using Belief Augmented Frames
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AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 8 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
ICIP
2000
IEEE
14 years 8 months ago
Integrating Visual, Audio and Text Analysis for News Video
In this paper, we present a system developed for content-based broadcasted news video browsing for home users. There are three main factors that distinguish our work from other si...
Wei Qi, Lie Gu, Hao Jiang, Xiang-Rong Chen, HongJi...
ICML
2003
IEEE
14 years 7 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
ISMAR
2008
IEEE
14 years 1 months ago
Pose tracking from natural features on mobile phones
In this paper we present two techniques for natural feature tracking in real-time on mobile phones. We achieve interactive frame rates of up to 20Hz for natural feature tracking f...
Daniel Wagner, Gerhard Reitmayr, Alessandro Mullon...
COLING
2002
13 years 6 months ago
Data-driven Classification of Linguistic Styles in Spoken Dialogues
Language users have individual linguistic styles. A spoken dialogue system may benefit from adapting to the linguistic style of a user in input analysis and output generation. To ...
Thomas Portele