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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 5 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
DAGM
2008
Springer
15 years 1 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof
EACL
2006
ACL Anthology
15 years 1 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
IACR
2011
73views more  IACR 2011»
13 years 11 months ago
Secure Authentication from a Weak Key, Without Leaking Information
We study the problem of authentication based on a weak key in the information-theoretic setting. A key is weak if its min-entropy is an arbitrary small fraction of its bit length. ...
Niek J. Bouman, Serge Fehr
JSYML
2000
97views more  JSYML 2000»
14 years 11 months ago
Weakly Algebraizable Logics
The class of weakly algebrizable logics is defined as the class of logics having monotonic and injective Leibniz operator. We show that "monotonicity" cannot be discarde...
Janusz Czelakowski, Ramon Jansana