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» Semi-supervised Learning from General Unlabeled Data
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AAAI
2011
12 years 8 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
ECCV
2002
Springer
14 years 9 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
LREC
2008
103views Education» more  LREC 2008»
13 years 9 months ago
From Field Notes towards a Knowledge Base
We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
Piroska Lendvai, Steve Hunt
ICML
2002
IEEE
14 years 8 months ago
Kernels for Semi-Structured Data
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
Hisashi Kashima, Teruo Koyanagi
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
14 years 8 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov