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144
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ICPR
2010
IEEE
15 years 3 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
DEBU
2010
108views more  DEBU 2010»
15 years 3 months ago
Weighted Set-Based String Similarity
Consider a universe of tokens, each of which is associated with a weight, and a database consisting of strings that can be represented as subsets of these tokens. Given a query st...
Marios Hadjieleftheriou, Divesh Srivastava
144
Voted
BMCBI
2006
104views more  BMCBI 2006»
15 years 3 months ago
GNU polyxmass: a software framework for mass spectrometric simulations of linear (bio-)polymeric analytes
Background: Nowadays, a variety of (bio-)polymers can be analyzed by mass spectrometry. The detailed interpretation of the spectra requires a huge number of "hypothesis cycle...
Filippo Rusconi
IJCV
2008
266views more  IJCV 2008»
15 years 3 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
JCS
2006
118views more  JCS 2006»
15 years 3 months ago
Enforcing Robust Declassification and Qualified Robustness
Noninterference requires that there is no information flow from sensitive to public data in a given system. However, many systems release sensitive information as part of their in...
Andrew C. Myers, Andrei Sabelfeld, Steve Zdancewic