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» Feature Construction for Back-Propagation
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INTERSPEECH
2010
14 years 4 months ago
Augmented set of features for confidence estimation in spoken term detection
Discriminative confidence estimation along with confidence normalisation have been shown to construct robust decision maker modules in spoken term detection (STD) systems. Discrim...
Javier Tejedor, Doroteo Torre Toledano, Miguel Bau...
CORR
2011
Springer
187views Education» more  CORR 2011»
14 years 4 months ago
The Language Features and Architecture of B-Prolog
B-Prolog is a high-performance implementation of the standard Prolog language with several extensions including matching clauses, action rules for event handling, finite-domain c...
Neng-Fa Zhou
ICASSP
2011
IEEE
14 years 1 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
RE
2010
Springer
14 years 4 months ago
Feature Unweaving: Refactoring Software Requirements Specifications into Software Product Lines
The design of the variability of a software product line is crucial to its success and evolution. Meaningful variable features need to be elicited, analyzed, documented and validat...
Reinhard Stoiber, Samuel Fricker, Michael Jehle, M...
JMLR
2012
13 years 1 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee