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» Towards Using Fewer Features for Text Classification
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KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
TCSV
2010
13 years 2 months ago
New Fourier-Statistical Features in RGB Space for Video Text Detection
In this paper, we propose new Fourier-Statistical Features (FSF) in RGB space for detecting text in video frames of unconstrained background, different fonts, different scripts and...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
MM
2006
ACM
152views Multimedia» more  MM 2006»
14 years 1 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng
EMNLP
2010
13 years 5 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
ISMDA
2005
Springer
14 years 1 months ago
Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng