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CIBCB
2006
IEEE
16 years 15 days ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
195
Voted
IJCNN
2006
IEEE
16 years 14 days ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
ICANN
2005
Springer
15 years 12 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner
EGC
2005
Springer
15 years 12 months ago
Learning Automata Based Algorithms for Mapping of a Class of Independent Tasks over Highly Heterogeneous Grids
Computational grid provides a platform for exploiting various computational resources over wide area networks. One of the concerns in implementing computational grid environment is...
S. Ghanbari, Mohammad Reza Meybodi
SIBGRAPI
2003
IEEE
15 years 11 months ago
Learning-Based versus Model-Based Log-Polar Feature Extraction Operators: A Comparative Study
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...
Herman Martins Gomes, Robert B. Fisher