Sciweavers

711 search results - page 13 / 143
» A cloning approach to classifier training
Sort
View
AVBPA
2003
Springer
135views Biometrics» more  AVBPA 2003»
13 years 11 months ago
Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...
Fabien Cardinaux, Conrad Sanderson, Sébasti...
NAACL
2010
13 years 5 months ago
Using Mostly Native Data to Correct Errors in Learners' Writing
We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific ...
Michael Gamon
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 8 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
NIPS
2004
13 years 8 months ago
The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data
There has been substantial progress in the past decade in the development of object classifiers for images, for example of faces, humans and vehicles. Here we address the problem ...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
ICML
2008
IEEE
14 years 8 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir