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» Minimization of an M-convex Function
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STOC
2009
ACM
172views Algorithms» more  STOC 2009»
14 years 9 months ago
Linear time approximation schemes for the Gale-Berlekamp game and related minimization problems
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
Marek Karpinski, Warren Schudy
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
VLSID
2007
IEEE
209views VLSI» more  VLSID 2007»
14 years 9 months ago
Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis
We present minimization methodologies and an algorithm for simultaneous scheduling, binding, and allocation for the reduction of total power and power fluctuation during behaviora...
Saraju P. Mohanty, Elias Kougianos
CVPR
2009
IEEE
14 years 4 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
CSE
2009
IEEE
14 years 3 months ago
Fast Fusion of Medical Images Based on Bayesian Risk Minimization and Pixon Map
Fast fusion of multiple registered out-of-focus images is of great interest in medical imaging; for example, the thoracic cavity is always too bumpy to be focused on all parts at ...
Hongbo Zhou, Qiang Cheng, Mehdi Zargham