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SIGIR
2003
ACM
14 years 29 days ago
A maximal figure-of-merit learning approach to text categorization
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
CVPR
2012
IEEE
11 years 10 months ago
Augmenting deformable part models with irregular-shaped object patches
The performance of part-based object detectors generally degrades for highly flexible objects. The limited topological structure of models and pre-specified part shapes are two ...
Roozbeh Mottaghi
CGO
2007
IEEE
14 years 2 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...
IEEEPACT
2008
IEEE
14 years 2 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ICIP
2006
IEEE
14 years 9 months ago
Rapid and Reliable Detection of Film Grain Noise
The knowledge of material specific film grain characteristics can significantly improve the performance of digital film processing algorithms. This paper proposes a rapid and reli...
Peter Schallauer, Roland Mörzinger