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ECML
2005
Springer
14 years 3 months ago
Fitting the Smallest Enclosing Bregman Ball
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
Richard Nock, Frank Nielsen
ICANN
2005
Springer
14 years 3 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
ICRA
2002
IEEE
106views Robotics» more  ICRA 2002»
14 years 3 months ago
Stochastic Mapping Frameworks
— Stochastic mapping is an approach to the concurrent mapping and localization (CML) problem. The approach is powerful because feature and robot states are explicitly correlated....
Richard J. Rikoski, John J. Leonard, Paul M. Newma...
ISCAS
1999
IEEE
177views Hardware» more  ISCAS 1999»
14 years 2 months ago
Obtaining digital gradient signals for analog adaptive filters
Analog adaptive filters with digitally programmable coefficients can provide speed, power, and area advantages over digital adaptive filters while overcoming the dc offset problem...
Anthony Chan Carusone, David A. Johns
ISCAS
1994
IEEE
124views Hardware» more  ISCAS 1994»
14 years 2 months ago
Efficient Gabor Filter Design Using Rician Output Statistics
Gabor filters have been applied sucessfully to a broad range of multidimensional signal processing and image processing tasks. The present paper considers the design of a single f...
Thomas P. Weldon, William E. Higgins, Dennis F. Du...