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CORR
2010
Springer
106views Education» more  CORR 2010»
14 years 10 months ago
Optimal measures and transition kernels
Abstract. We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on infor...
Roman V. Belavkin
ICCV
2009
IEEE
16 years 6 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
15 years 8 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
LICS
1999
IEEE
15 years 5 months ago
Subtyping Recursive Types in Kernel Fun
The problem of defining and checking a subtype relation between recursive types was studied in [3] for a first order type system, but for second order systems, which combine subty...
Dario Colazzo, Giorgio Ghelli
ICIP
2006
IEEE
16 years 3 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld