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» Text Classification Using Belief Augmented Frames
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AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
14 years 11 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
15 years 11 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
15 years 10 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
15 years 3 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
14 years 9 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