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» An Efficient Framework for Order Optimization
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CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 2 months ago
Pushdown Control-Flow Analysis of Higher-Order Programs
Context-free approaches to static analysis gain precision over classical approaches by perfectly matching returns to call sites-a property that eliminates spurious interprocedural...
Christopher Earl, Matthew Might, David Van Horn
ECCV
2010
Springer
15 years 2 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
ICCAD
2009
IEEE
144views Hardware» more  ICCAD 2009»
14 years 11 months ago
Virtual probe: A statistically optimal framework for minimum-cost silicon characterization of nanoscale integrated circuits
In this paper, we propose a new technique, referred to as virtual probe (VP), to efficiently measure, characterize and monitor both inter-die and spatially-correlated intra-die va...
Xin Li, Rob A. Rutenbar, R. D. (Shawn) Blanton
CGO
2005
IEEE
15 years 7 months ago
Model-Based Framework: An Approach for Profit-Driven Optimization
Although optimizations have been applied for a number of years to improve the performance of software, problems that have been long-standing remain, which include knowing what opt...
Min Zhao, Bruce R. Childers, Mary Lou Soffa
NECO
2008
112views more  NECO 2008»
15 years 1 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel