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» Algorithms for Learning Kernels Based on Centered Alignment
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ICML
2008
IEEE
16 years 6 months ago
An RKHS for multi-view learning and manifold co-regularization
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
Vikas Sindhwani, David S. Rosenberg
MM
2009
ACM
196views Multimedia» more  MM 2009»
16 years 11 days ago
Mirror world navigation for mobile users based on augmented reality
Finding a destination in unfamiliar environments of complex office building or shopping mall has been always bothering us in daily life. Fine-scale directional guidance, a combina...
Patricia P. Wang, Tao Wang, Dayong Ding, Yimin Zha...
ICTAI
1994
IEEE
15 years 10 months ago
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
Cédric Gégout, Bernard Girau, Fabric...
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
16 years 12 days ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain
JCP
2008
167views more  JCP 2008»
15 years 5 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao