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» Objective Functions for Feature Discrimination
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DAGSTUHL
2003
15 years 4 months ago
Components, Features, and Agents in the ABC
Abstract. In this paper, we show how the concepts of objects, components, features and agents are used today in the Agent Building Center (ABC) environment in order to marry the mo...
Tiziana Margaria
ICPR
2008
IEEE
16 years 4 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
CGF
2008
201views more  CGF 2008»
15 years 2 months ago
High-Resolution Volumetric Computation of Offset Surfaces with Feature Preservation
We present a new algorithm for the efficient and reliable generation of offset surfaces for polygonal meshes. The algorithm is robust with respect to degenerate configurations and...
Darko Pavic, Leif Kobbelt
DAGM
2006
Springer
15 years 6 months ago
Using Irreducible Group Representations for Invariant 3D Shape Description
Invariant feature representations for 3D objects are one of the basic needs in 3D object retrieval and classification. One tool to obtain rotation invariance are Spherical Harmonic...
Marco Reisert, Hans Burkhardt
LREC
2010
165views Education» more  LREC 2010»
15 years 4 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha