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IPPS
2007
IEEE
15 years 11 months ago
Low-Overhead LogGP Parameter Assessment for Modern Interconnection Networks
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
Torsten Hoefler, Andre Lichei, Wolfgang Rehm
CVPR
2012
IEEE
13 years 7 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
CVPR
2009
IEEE
17 years 1 days ago
Image Registration by Minimization of Residual Complexity
Accurate denition of similarity measure is a key component in image registration. Most commonly used intensitybased similarity measures rely on the assumptions of independence ...
Andriy Myronenko, Xubo B. Song
ICCV
2007
IEEE
16 years 6 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
AAAI
2007
15 years 7 months ago
Stochastic Optimization for Collision Selection in High Energy Physics
Artificial intelligence has begun to play a critical role in basic science research. In high energy physics, AI methods can aid precision measurements that elucidate the underlyi...
Shimon Whiteson, Daniel Whiteson