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ICASSP
2011
IEEE
12 years 8 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...
BMCBI
2007
120views more  BMCBI 2007»
13 years 4 months ago
Quantitative sequence-function relationships in proteins based on gene ontology
Background: The relationship between divergence of amino-acid sequence and divergence of function among homologous proteins is complex. The assumption that homologs share function...
Vineet Sangar, Daniel J. Blankenberg, Naomi Altman...
CORR
2006
Springer
154views Education» more  CORR 2006»
13 years 4 months ago
Functional Bregman Divergence and Bayesian Estimation of Distributions
Abstract--A class of distortions termed functional Bregman divergences is defined, which includes squared error and relative entropy. A functional Bregman divergence acts on functi...
B. A. Frigyik, Santosh Srivastava, Maya R. Gupta
CVPR
2010
IEEE
13 years 4 months ago
Total Bregman divergence and its applications to shape retrieval
Shape database search is ubiquitous in the world of biometric systems, CAD systems etc. Shape data in these domains is experiencing an explosive growth and usually requires search...
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank...
BIRTHDAY
2004
Springer
13 years 10 months ago
Seeing Beyond Divergence
A long-standing complaint about the theory of CSP has been that all theories which encompass divergence are divergence-strict, meaning that nothing beyond the first divergence ca...
A. W. Roscoe