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» A Graph Based Data Model for Graphics Interpretation
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MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 10 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
ISBI
2004
IEEE
16 years 4 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
DICS
2006
15 years 7 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules: A Programmer's Perspective
Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch
ICML
2004
IEEE
16 years 4 months ago
Learning large margin classifiers locally and globally
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
BTW
2007
Springer
236views Database» more  BTW 2007»
15 years 7 months ago
A Classification of Schema Mappings and Analysis of Mapping Tools
: Schema mapping techniques for data exchange have become popular and useful tools both in research and industry. A schema mapping relates a source schema with a target schema via ...
Frank Legler, Felix Naumann