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ECAI
2004
Springer
15 years 9 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
IPPS
1999
IEEE
15 years 8 months ago
Parallel Program Archetypes
A parallel program archetype is an abstraction that captures the common features of a class of problems with similar computational structure and combines them with a parallelizati...
Berna L. Massingill, K. Mani Chandy
ICCV
2005
IEEE
16 years 6 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...
122
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ICDAR
2011
IEEE
14 years 3 months ago
Wall Patch-Based Segmentation in Architectural Floorplans
Abstract—Segmentation of architectural floorplans is a challenging task, mainly because of the large variability in the notation between different plans. In general, traditional...
Lluís-Pere de las Heras, Joan Mas, Gemma S&...
INTERSPEECH
2010
14 years 10 months ago
Channel detectors for system fusion in the context of NIST LRE 2009
One of the difficulties in Language Recognition is the variability of the speech signal due to speakers and channels. If channel mismatch is too big and when different categories ...
Florian Verdet, Driss Matrouf, Jean-Françoi...