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» Learning Models for Predicting Recognition Performance
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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 6 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
CVPR
2006
IEEE
16 years 4 months ago
Modeling Age Progression in Young Faces
We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. The model draws inspiration from the `rev...
Narayanan Ramanathan, Rama Chellappa
111
Voted
LREC
2010
166views Education» more  LREC 2010»
15 years 4 months ago
Learning Based Java for Rapid Development of NLP Systems
Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
Nick Rizzolo, Dan Roth
128
Voted
ICIP
2006
IEEE
15 years 8 months ago
Modelization of Limb Coordination for Human Action Analysis
This paper analyzes the movements of the human body limbs (hands, feet and head) and center of gravity in order to detect simple actions such as walking, jumping and displacing an...
Kosta Gaitanis, Pedro Correa, Benoit M. Macq
110
Voted
IJCNN
2008
IEEE
15 years 9 months ago
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Eric Granger, Jean-François Connolly, Rober...