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» Informative Labeling Schemes
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SAC
2004
ACM
15 years 9 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
DIAL
2004
IEEE
164views Image Analysis» more  DIAL 2004»
15 years 8 months ago
A Dynamic Feature Generation System for Automated Metadata Extraction in Preservation of Digital Materials
Obsolescence in storage media and the hardware and software for access and use can render old electronic files inaccessible and unusable. Therefore, the long-term preservation of ...
Song Mao, Jongwoo Kim, George R. Thoma
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 6 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
TIP
2010
182views more  TIP 2010»
14 years 11 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
CVPR
2009
IEEE
16 years 11 months ago
Epitomized Priors for Multi-labeling Problems
Image parsing remains difficult due to the need to combine local and contextual information when labeling a scene. We approach this problem by using the epitome as a prior over ...
Jonathan Warrell, Simon J. D. Prince, Alastair P. ...