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113
Voted
ICPR
2002
IEEE
16 years 1 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
111
Voted
IPMI
2007
Springer
16 years 1 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
ICML
2004
IEEE
16 years 1 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
ALT
2001
Springer
15 years 9 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
97
Voted
ECOOP
2008
Springer
15 years 2 months ago
An Extensible State Machine Pattern for Interactive Applications
Abstract. The state design pattern is the standard object-oriented programming idiom for implementing the state machine logic of interactive applications. While this pattern provid...
Brian Chin, Todd D. Millstein