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» Extracting Important Sentences with Support Vector Machines
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CIVR
2008
Springer
213views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Language modeling for bag-of-visual words image categorization
In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...
Pierre Tirilly, Vincent Claveau, Patrick Gros
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 5 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
ICMCS
2009
IEEE
148views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Classification-Based relay selection for video streaming over wireless multihop networks
Real-time streaming of audiovisual content over wireless networks is emerging as an important technology in multimedia communication. In this paper, we present a classification-ba...
Mei-Hsuan Lu, Yu-Hsiang Bosco Chiu, Tsuhan Chen
IMSCCS
2007
IEEE
14 years 2 months ago
Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules
Background: Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cy...
Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. ...
ISBI
2007
IEEE
14 years 2 months ago
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features
The current method of grading prostate cancer on histology uses the Gleason system, which describes five increasingly malignant stages of cancer according to qualitative analysis...
Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabh...