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» Parallel Support Vector Machines: The Cascade SVM
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NIPS
2003
13 years 10 months ago
Margin Maximizing Loss Functions
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
Saharon Rosset, Ji Zhu, Trevor Hastie
ICIP
2009
IEEE
14 years 9 months ago
Image Mosaicing Via Quadric Surface Estimation With Priors For Tunnel Inspection
In this paper, a system which constructs a mosaic image of the tunnel surface with little distortion is presented. The tunnel surface is typically composed of a roughly cylindrica...
ISCI
2008
165views more  ISCI 2008»
13 years 8 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
ICNC
2005
Springer
14 years 2 months ago
Novel Leaning Feed-Forward Controller for Accurate Robot Trajectory Tracking
This paper presents a novel learning feed-forward controller design approach for accurate robotics trajectory tracking. Based on the joint nonlinear dynamics characteristics, a mod...
D. Bi, G. L. Wang, Jun Zhang, Q. Xue
BMCBI
2008
141views more  BMCBI 2008»
13 years 9 months ago
MiRTif: a support vector machine-based microRNA target interaction filter
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...
Yuchen Yang, Yu-Ping Wang, Kuo-Bin Li