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2007
151views Robotics» more  RSS 2007»
15 years 3 months ago
Predicting Partial Paths from Planning Problem Parameters
— Many robot motion planning problems can be described as a combination of motion through relatively sparsely filled regions of configuration space and motion through tighter p...
Sarah Finney, Leslie Pack Kaelbling, Tomás ...
ICTAI
2005
IEEE
15 years 8 months ago
Using a Lagrangian Heuristic for a Combinatorial Auction Problem
In this paper, a combinatorial auction problem is modeled as a NP-complete set packing problem and a Lagrangian relaxation based heuristic algorithm is proposed. Extensive experim...
Yunsong Guo, Andrew Lim, Brian Rodrigues, Jiqing T...
PDPTA
1996
15 years 3 months ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker
ICPR
2006
IEEE
16 years 3 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
115
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CVPR
2010
IEEE
15 years 10 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman