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JMLR
2010
143views more  JMLR 2010»
15 years 5 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
229
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CDC
2010
IEEE
15 years 2 months ago
Trajectory generation using sum-of-norms regularization
Abstract-- Many tracking problems are split into two subproblems, first a smooth reference trajectory is generated that meet the control design objectives, and then a closed loop c...
Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung,...
MEMOCODE
2005
IEEE
16 years 1 months ago
PyPBS design and methodologies
This paper presents results on processor specification from a specialized high-level finite state machine (FSM) language. The language is an extension and enhancement of earlier...
Greg Hoover, Forrest Brewer
236
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SCALESPACE
1997
Springer
15 years 11 months ago
3D Shape Representation: Transforming Polygons into Voxels
We developed a method that transforms a polygonal representation of an object into a voxel representation on a 3D regular grid. By applying scale-space theory we derived expression...
Stijn Oomes, Peter R. Snoeren, Tjeerd Dijkstra
CAV
2010
Springer
159views Hardware» more  CAV 2010»
15 years 10 months ago
Gist: A Solver for Probabilistic Games
Gist is a tool that (a) solves the qualitative analysis problem of turn-based probabilistic games with -regular objectives; and (b) synthesizes reasonable environment assumptions f...
Krishnendu Chatterjee, Thomas A. Henzinger, Barbar...