Decision templates for multiple classifier fusion: an experimental comparison
Multiple classifier fusion may generate more accurate classification than each of the
constituent classifiers. Fusion is often based on fixed combination rules like the product and …
constituent classifiers. Fusion is often based on fixed combination rules like the product and …
[图书][B] Fuzzy classifier design
L Kuncheva - 2000 - books.google.com
Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever
since have been a center of many discussions, fervently admired and condemned. Both …
since have been a center of many discussions, fervently admired and condemned. Both …
Ensembles of learning machines
G Valentini, F Masulli - Neural Nets: 13th Italian Workshop on Neural Nets …, 2002 - Springer
Ensembles of learning machines constitute one of the main current directions in machine
learning research, and have been applied to a wide range of real problems. Despite of the …
learning research, and have been applied to a wide range of real problems. Despite of the …
Designing classifier fusion systems by genetic algorithms
LI Kuncheva, LC Jain - IEEE Transactions on Evolutionary …, 2000 - ieeexplore.ieee.org
We suggest two simple ways to use a genetic algorithm (GA) to design a multiple-classifier
system. The first GA version selects disjoint feature subsets to be used by the individual …
system. The first GA version selects disjoint feature subsets to be used by the individual …
Pose invariant face recognition
We describe a novel neural network architecture, which can recognize human faces with
any view in a certain viewing angle range (from left 30 degrees to right 30 degrees out of …
any view in a certain viewing angle range (from left 30 degrees to right 30 degrees out of …
Combining classifiers: Soft computing solutions
LI Kuncheva - Pattern recognition: From classical to modern …, 2001 - World Scientific
Classifier combination is now an established pattern recognition subdiscipline. Despite the
strong aspiration for theoretical studies, classifier combination relies mainly on heuristic and …
strong aspiration for theoretical studies, classifier combination relies mainly on heuristic and …
Pose-invariant face recognition system and process
US7127087B2 - Pose-invariant face recognition system and process - Google Patents
US7127087B2 - Pose-invariant face recognition system and process - Google Patents Pose-invariant …
US7127087B2 - Pose-invariant face recognition system and process - Google Patents Pose-invariant …
Pose-invariant face recognition system and process
A face recognition system and process for identifying a person depicted in an input image
and their face pose. This system and process entails locating and extracting face regions …
and their face pose. This system and process entails locating and extracting face regions …
Pose-invariant face recognition system and process
A face recognition system and process for identifying a person depicted in an input image
and their face pose. This system and process entails locating and extracting face regions …
and their face pose. This system and process entails locating and extracting face regions …
On combining multiple classifiers by fuzzy templates
L Kuncheva, JC Bezdek… - 1998 Conference of the …, 1998 - ieeexplore.ieee.org
The authors study classifier fusion using the fuzzy template (FT) technique. Given an object
to be classified, each classifier from the pool yields a vector with degrees of" support" for the …
to be classified, each classifier from the pool yields a vector with degrees of" support" for the …