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» More generality in efficient multiple kernel learning
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PR
2008
144views more  PR 2008»
13 years 8 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...
CVPR
2005
IEEE
14 years 10 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
POPL
2008
ACM
14 years 9 months ago
Automatic inference of stationary fields: a generalization of java's final fields
Java programmers can document that the relationship between two objects is unchanging by declaring the field that encodes that relationship to be final. This information can be us...
Christopher Unkel, Monica S. Lam
ASAP
2008
IEEE
118views Hardware» more  ASAP 2008»
14 years 3 months ago
Bit matrix multiplication in commodity processors
Registers in processors generally contain words or, with the addition of multimedia extensions, short vectors of subwords of bytes or 16-bit elements. In this paper, we view the c...
Yedidya Hilewitz, Cédric Lauradoux, Ruby B....