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» Learning Overcomplete Representations
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ICASSP
2011
IEEE
13 years 14 days ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
14 years 1 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
HICSS
2002
IEEE
80views Biometrics» more  HICSS 2002»
14 years 1 months ago
Collaboration between Writer and Reviewer through Change Representation Tools
Change representation concerns how changes of text are presented in writing tools. Change representation in collaborative writing can play an important role for the collaborators&...
Hee-Cheol (Ezra) Kim, Kerstin Severinson Eklundh
MCS
2001
Springer
14 years 1 months ago
On Combining Dissimilarity Representations
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
Elzbieta Pekalska, Robert P. W. Duin
ITS
2000
Springer
91views Multimedia» more  ITS 2000»
14 years 10 days ago
The Impact of Representation on Coaching Argument Analysis
Graphical representations have long been associated with more efficient problem solving. More recently, researchers have begun looking at how representation may affect the informat...
Violetta Cavalli-Sforza