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ICML
2009
IEEE
16 years 7 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
IROS
2008
IEEE
126views Robotics» more  IROS 2008»
16 years 24 days ago
High-dimensional underactuated motion planning via task space control
Abstract— Kinodynamic planning algorithms have the potential to find feasible control trajectories which accomplish a task even in very nonlinear or constrained dynamical system...
Alexander C. Shkolnik, Russ Tedrake
WADS
1997
Springer
91views Algorithms» more  WADS 1997»
15 years 10 months ago
Dynamic Motion Planning in Low Obstacle Density Environments
A fundamental task for an autonomous robot is to plan its own motions. Exact approaches to the solution of this motion planning problem suffer from high worst-case running times. ...
Robert-Paul Berretty, Mark H. Overmars, A. Frank v...
ECAI
2006
Springer
15 years 10 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
CAE
2007
15 years 8 months ago
An Efficient Perception-based Adaptive Color to Gray Transformation
The visualization of color images in gray scale has high practical and theoretical importance. Neither the existing local, gradient based methods, nor the fast global techniques g...
László Neumann, Martin Cadík,...