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» A comparative study of two object recognition methods
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ICONIP
2008
15 years 5 months ago
On Node-Fault-Injection Training of an RBF Network
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
John Sum, Chi-Sing Leung, Kevin Ho
LREC
2008
118views Education» more  LREC 2008»
15 years 5 months ago
Evaluation of several Maximum Likelihood Linear Regression Variants for Language Adaptation
Multilingual Automatic Speech Recognition (ASR) systems are of great interest in multilingual environments. We studied the case of the Comunitat Valenciana where the two official ...
Míriam Luján-Mares, Carlos D. Mart&i...
SIGIR
2002
ACM
15 years 3 months ago
Probabilistic combination of text classifiers using reliability indicators: models and results
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
ECCV
2010
Springer
15 years 9 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
TROB
2010
176views more  TROB 2010»
14 years 10 months ago
Modeling Deformations of General Parametric Shells Grasped by a Robot Hand
The robot hand applying force on a deformable object will result in a changing wrench space due to the varying shape and normal of the contact area. Design and analysis of a manipu...
Jiang Tian, Yan-Bin Jia