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JMLR
2012
11 years 10 months ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
CVPR
2008
IEEE
14 years 10 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
PODS
2005
ACM
85views Database» more  PODS 2005»
14 years 8 months ago
Relative risk and odds ratio: a data mining perspective
We are often interested to test whether a given cause has a given effect. If we cannot specify the nature of the factors involved, such tests are called model-free studies. There ...
Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng...
SIGGRAPH
1996
ACM
14 years 2 days ago
Combining Frequency and Spatial Domain Information for Fast Interactive Image Noise Removal
Scratches on old films must be removed since these are more noticeable on higher definition and digital televisions. Wires that suspend actors or cars must be carefully erased dur...
Anil N. Hirani, Takashi Totsuka
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 10 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye