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CVPR
2010
IEEE
14 years 4 months ago
Energy Minimization for Linear Envelope MRFs
Markov random fields with higher order potentials have emerged as a powerful model for several problems in computer vision. In order to facilitate their use, we propose a new rep...
Pushmeet Kohli, M. Pawan Kumar
EMNLP
2011
12 years 7 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
AUTOMATICA
2008
167views more  AUTOMATICA 2008»
13 years 8 months ago
Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming
A wide variety of stability and performance questions about linear dynamical systems can be reformulated as convex optimization problems involving linear matrix inequalities (LMIs...
Erin M. Aylward, Pablo A. Parrilo, Jean-Jacques E....
CVIU
2011
12 years 11 months ago
Graph-based quadratic optimization: A fast evolutionary approach
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
Samuel Rota Bulò, Marcello Pelillo, Immanue...
DAC
1997
ACM
14 years 2 days ago
Wire Segmenting for Improved Buffer Insertion
Buffer insertion seeks to place buffers on the wires of a signal net to minimize delay. Van Ginneken [14] proposed an optimal dynamic programming solution (with extensions propose...
Charles J. Alpert, Anirudh Devgan