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» Stability and Generalization
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105
Voted
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 5 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
150
Voted
SIGMETRICS
2008
ACM
150views Hardware» more  SIGMETRICS 2008»
15 years 3 months ago
Performance of random medium access control, an asymptotic approach
Random Medium-Access-Control (MAC) algorithms have played an increasingly important role in the development of wired and wireless Local Area Networks (LANs) and yet the performanc...
Charles Bordenave, David McDonald, Alexandre Prout...
ECCV
2004
Springer
16 years 5 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
110
Voted
ICRA
2010
IEEE
107views Robotics» more  ICRA 2010»
15 years 2 months ago
Sidewinding on slopes
— Sidewinding is an efficient translation gait used by snakes over flat ground. When implemented on snake robots, it retains its general effectiveness, but becomes unstable on ...
Ross L. Hatton, Howie Choset
119
Voted
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 1 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...