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CF
2009
ACM
14 years 3 months ago
Evaluating multi-core platforms for HPC data-intensive kernels
Multi-core platforms have proven themselves able to accelerate numerous HPC applications. But programming dataintensive applications on such platforms is a hard, and not yet solve...
Alexander S. van Amesfoort, Ana Lucia Varbanescu, ...
AAAI
2006
13 years 10 months ago
A Simple and Effective Method for Incorporating Advice into Kernel Methods
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
Richard Maclin, Jude W. Shavlik, Trevor Walker, Li...
CVPR
2007
IEEE
14 years 11 months ago
Variable Bandwidth Image Denoising Using Image-based Noise Models
This paper introduces a variational formulation for image denoising based on a quadratic function over kernels of variable bandwidth. These kernels are scale adaptive and reflect ...
Noura Azzabou, Nikos Paragios, Frederic Guichard, ...
ICPR
2010
IEEE
14 years 3 months ago
Object Recognition and Localization Via Spatial Instance Embedding
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
Nazli Ikizler Cinbis, Stan Sclaroff
IJCNN
2006
IEEE
14 years 3 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang