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ICPR
2010
IEEE
15 years 6 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
150
Voted
DAC
2005
ACM
15 years 6 months ago
Partitioning-based approach to fast on-chip decap budgeting and minimization
This paper proposes a fast decoupling capacitance (decap) allocation and budgeting algorithm for both early stage decap estimation and later stage decap minimization in today’s ...
Hang Li, Zhenyu Qi, Sheldon X.-D. Tan, Lifeng Wu, ...
HICSS
2006
IEEE
117views Biometrics» more  HICSS 2006»
15 years 10 months ago
Planning for a Big Bang in a Supply Chain: Fast Hedging for Production Indicators
— We concern ourselves with the process of making optimized production planning decisions in the face of low frequency, high impact uncertainty, which takes the form of a small n...
David L. Woodruff, Stefan Voß
128
Voted
SIGGRAPH
1994
ACM
15 years 8 months ago
Fast contact force computation for nonpenetrating rigid bodies
A new algorithm for computing contact forces between solid objects with friction is presented. The algorithm allows a mix of contact points with static and dynamic friction. In co...
David Baraff
CDC
2008
IEEE
161views Control Systems» more  CDC 2008»
15 years 6 months ago
A fast algorithm to compute the controllability, decentralized fixed-mode, and minimum-phase radius of LTI systems
In this paper, an efficient algorithm is presented for solving the 2-D optimization problem which is associated with computing the robustness measures of a number of linear time-in...
Simon Lam, Edward J. Davison