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» Predicate Invention and Learning from Positive Examples Only
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ICCV
2005
IEEE
14 years 10 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
MM
2009
ACM
159views Multimedia» more  MM 2009»
14 years 3 months ago
Visual categorization with negative examples for free
Automatic visual categorization is critically dependent on labeled examples for supervised learning. As an alternative to traditional expert labeling, social-tagged multimedia is ...
Xirong Li, Cees G. M. Snoek
APCHI
1998
IEEE
14 years 25 days ago
Beyond "Couch Potatoes": From Consumers to Designers
The fundamental challenge for computational media is to contribute to the invention and design of cultures in which humans can express themselves and engage in personally meaningf...
Gerhard Fischer
ICANN
2009
Springer
14 years 1 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
JMLR
2010
136views more  JMLR 2010»
13 years 3 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby