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» From Features to Semantics: Some Preliminary Results
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NECO
1998
151views more  NECO 1998»
15 years 1 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
ALDT
2009
Springer
172views Algorithms» more  ALDT 2009»
15 years 8 months ago
Extending Argumentation to Make Good Decisions
Abstract. Argumentation has been acknowledged as a powerful mechanism for automated decision making. In this context several recent works have studied the problem of accommodating ...
Yannis Dimopoulos, Pavlos Moraitis, Leila Amgoud
ESWS
2008
Springer
15 years 3 months ago
Contextual and Metadata-based Approach for the Semantic Annotation of Heterogeneous Documents
We present SHIRI-Annot an automatic ontology-driven and unsupervised approach for the semantic annotation of documents which contain well structured parts and not well structured o...
Mouhamadou Thiam, Nathalie Pernelle, Nacéra...
125
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CVPR
2004
IEEE
16 years 3 months ago
How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 7 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio