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IJCV
2006
115views more  IJCV 2006»
15 years 6 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 27 days ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
170
Voted
ECML
2001
Springer
15 years 11 months ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker
ARITH
1999
IEEE
15 years 11 months ago
Intermediate Variable Encodings that Enable Multiplexor-Based Implementations of Two Operand Addition
In two operand addition, bit-wise intermediate variables such as the "propagate" and "generate" terms are defined/evaluated first. Basic carry propagation recu...
Dhananjay S. Phatak, Israel Koren
KDD
1995
ACM
112views Data Mining» more  KDD 1995»
15 years 10 months ago
Learning First Order Logic Rules with a Genetic Algorithm
This paper introduces a newalgorithm called SIAO1 for learning first order logic rules withgenetic algorithms. SIAO1uses the covering principle developed in AQwhereseed examplesar...
Sébastien Augier, Gilles Venturini, Yves Ko...