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IWANN
2005
Springer
14 years 2 months ago
Bias and Variance of Rotation-Based Ensembles
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Juan José Rodríguez, Carlos J. Alons...
CAEPIA
2003
Springer
14 years 2 months ago
Rotation-Based Ensembles
A new method for ensemble generation is presented. It is based on grouping the attributes in dierent subgroups, and to apply, for each group, an axis rotation, using Principal Com...
Juan José Rodríguez, Carlos J. Alons...
ICIP
2010
IEEE
13 years 7 months ago
Rotation robust detection of copy-move forgery
Copy-move tampering is a common type of image synthesizing, where a part of an image is copied and pasted to another place to add or remove an object. In this paper, an efficient ...
Weihai Li, Nenghai Yu
VIP
2003
13 years 10 months ago
Robust Real-Time Tracking of Non-Rigid Objects
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
Richard Y. D. Xu, John G. Allen, Jesse S. Jin
ICRA
2005
IEEE
174views Robotics» more  ICRA 2005»
14 years 2 months ago
A Deformable Object Tracking Algorithm Robust to Occlusions and Spurious Edges
— Deformable object tracking is used in many robotics applications including biomanipulation, vision-based force sensing, and the control of deformable structures. A tracking alg...
Michael A. Greminger, Bradley J. Nelson