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ALT
2004
Springer
15 years 6 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
HPCA
2009
IEEE
15 years 10 months ago
Voltage emergency prediction: Using signatures to reduce operating margins
Inductive noise forces microprocessor designers to sacrifice performance in order to ensure correct and reliable operation of their designs. The possibility of wide fluctuations i...
Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. H...
CVPR
2009
IEEE
2216views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Object Detection using a Max-Margin Hough Transform
We present a discriminative Hough transform based ob- ject detector where each local part casts a weighted vote for the possible locations of the object center. We show that the ...
Subhransu Maji (University of California, Berkeley...
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
14 years 8 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
IJCAI
2007
14 years 11 months ago
Maximum Margin Coresets for Active and Noise Tolerant Learning
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
Sariel Har-Peled, Dan Roth, Dav Zimak