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SIGIR
2005
ACM
13 years 10 months ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
13 years 10 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
AWIC
2007
Springer
13 years 11 months ago
Improving Text Classification by Web Corpora
A major difficulty of supervised approaches for text classification is that they require a great number of training instances in order to construct an accurate classifier. This pap...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
CVPR
2007
IEEE
14 years 6 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
ACSC
2006
IEEE
13 years 11 months ago
Unsupervised band removal leading to improved classification accuracy of hyperspectral images
Remotely-sensed images of the earth’s surface are used across a wide range of industries and applications including agriculture, mining, defence, geography and geology, to name ...
R. Ian Faulconbridge, Mark R. Pickering, Michael J...