A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition

This publication has 24 references indexed in Scilit:

• Training support vector machines: an application to face detection
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
• Example-based object detection in images by components
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2001
• An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  Published by Cambridge University Press (CUP) ,2000
• Minimizing Binding Errors Using Learned Conjunctive Features
  Neural Computation, 2000
• Classifying facial actions
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1999
• A Computational Model for Visual Selection
  Neural Computation, 1999
• Large Margin Classification Using the Perceptron Algorithm
  Machine Learning, 1999
• The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant
  Artificial Intelligence, 1997
• A training algorithm for optimal margin classifiers
  Published by Association for Computing Machinery (ACM) ,1992
• Redundant Noisy Attributes, Attribute Errors, and Linear-threshold Learning Using Winnow
  Published by Elsevier ,1991