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SCALESPACE
2007
Springer
15 years 3 months ago
Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
The reconstruction problem is usually formulated as a variational problem in which one searches for that image that minimizes a so called prior (image model) while insisting on cer...
Bart Janssen, Remco Duits, Bart M. ter Haar Romeny
ADCM
2008
136views more  ADCM 2008»
14 years 10 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
ICPR
2004
IEEE
15 years 11 months ago
A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition
Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due ...
M. Narasimha Murty, P. Viswanath, Shalabh Bhatnaga...
ECSQARU
2007
Springer
15 years 4 months ago
Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory
The binary representation is widely used for representing focal sets of Dempster-Shafer belief functions because it allows to compute efficiently all relevant operations. However, ...
Norbert Lehmann
CEC
2005
IEEE
15 years 3 months ago
Evolving binary decision diagrams using implicit neutrality
Abstract- A new algorithm is presented for evolving Binary Decision Diagrams (BDD) that employs the neutrality implicit in the BDD representation. It is shown that an effortless ne...
Richard M. Downing