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PRL
2006
106views more  PRL 2006»
15 years 6 months ago
Invariances in kernel methods: From samples to objects
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
Alexei Pozdnoukhov, Samy Bengio
WSCG
2001
167views more  WSCG 2001»
15 years 8 months ago
Component-Based Architectures for Computer Vision Systems
Research performed in the field of computer vision has steadily ignored recent advances in programming tools and techniques, relying on well-established traditional methods, such ...
A. Economopoulos, Drakoulis Martakos
OOPSLA
2005
Springer
16 years 1 days ago
Using predicate fields in a highly flexible industrial control system
Predicate fields allow an object’s structure to vary at runtime based on the object’s state: a predicate field is present or not, depending on the values of other fields. P...
Shay Artzi, Michael D. Ernst
IWPC
2003
IEEE
15 years 12 months ago
Scaling an Object-Oriented System Execution Visualizer through Sampling
Increasingly, applications are being built by combining existing software components. For the most part, a software developer can treat components as black-boxes. However, for som...
Andrew Chan, Reid Holmes, Gail C. Murphy, Annie T....
ISNN
2007
Springer
16 years 21 days ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan