Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

16

IJCNN
2006
IEEE

favoriteEmaildiscussreport

156views Neural Networks» more IJCNN 2006»

Correntropy: A Localized Similarity Measure

13 years 11 months ago

Correntropy: A Localized Similarity Measure

Download www.cnel.ufl.edu

—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy as a new localized similarity measure based on information theoretic learning (ITL) and kernel methods. As such it has vastly different properties when compared with Mean Square Error (MSE) that can be very useful in nonlinear, non-Gaussian signal processing. Two examples are presented to illustrate the technique.

Weifeng Liu, Puskal P. Pokharel, Jose C. Principe

Real-time Traffic

IJCNN 2006 | Localized Similarity Measure | Signal Processing | Statistical Signal Processing |

claim paper

Related Content

» A new nonlinear similarity measure for multichannel signals

» Learning weighted similarity measurements for unconstrained face recognition

» A Sparse Coding Based Similarity Measure

» A nonparametrictestbased structural similarity measure for digital images

» Balance Support Vector Machines Locally Using the Structural Similarity Kernel

» Using Evolution Programs to Learn Local Similarity Measures

» A GraphBased Approach to Corner Matching Using Mutual Information as a Local Similarity Me...

» Localization of Optic Disk Using Independent Component Analysis and Modified Structural Si...

» RankTest Similarity Measure Between Video Segments for Local Descriptors

Post Info
More Details (n/a)

Added	11 Jun 2010
Updated	11 Jun 2010
Type	Conference
Year	2006
Where	IJCNN
Authors	Weifeng Liu, Puskal P. Pokharel, Jose C. Principe

Comments (0)