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ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
14 years 2 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
ROMAN
2007
IEEE
191views Robotics» more  ROMAN 2007»
14 years 2 months ago
Learning and Recognition of Object Manipulation Actions Using Linear and Nonlinear Dimensionality Reduction
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
Isabel Serrano Vicente, Danica Kragic, Jan-Olof Ek...
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
14 years 1 months ago
FEMA: A Fast Expectation Maximization Algorithm based on Grid and PCA
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
Zhiwen Yu, Hau-San Wong
ICPR
2006
IEEE
14 years 1 months ago
Transformation Invariance in Hand Shape Recognition
In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations. Thi...
Thomas Coogan, Alistair Sutherland
ICPR
2010
IEEE
14 years 1 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Neural Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Gabbouj Moncef