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» Learning with Transformation Invariant Kernels
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PAMI
2008
135views more  PAMI 2008»
13 years 7 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
14 years 1 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
ICASSP
2011
IEEE
12 years 11 months ago
Approximation of pattern transformation manifolds with parametric dictionaries
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
Elif Vural, Pascal Frossard
BMVC
2002
13 years 9 months ago
Orientation Correlation
A new method of translational image registration is presented: orientation correlation. The method is fast, exhaustive, statistically robust, and illumination invariant. No existi...
A. J. Fitch, Alexander Kadyrov, William J. Christm...
EVOW
2007
Springer
13 years 11 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague