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ICASSP
2011
IEEE
14 years 10 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
ICASSP
2011
IEEE
14 years 10 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
CAV
2009
Springer
156views Hardware» more  CAV 2009»
16 years 1 months ago
Towards Performance Prediction of Compositional Models in Industrial GALS Designs
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip desi...
Nicolas Coste, Holger Hermanns, Etienne Lantreibec...
ISCC
2008
IEEE
110views Communications» more  ISCC 2008»
16 years 1 months ago
Model for polling in noisy multihop systems with application to PLC and AMR
The present paper presents a Markov Chain model of polling in noisy multi-hop systems typical of Power Line Communications (PLC) as well as of other systems. The model includes the...
Joseph M. Selga, Agustín Zaballos, Jaume Ab...
ICCV
2005
IEEE
16 years 10 days ago
A Model-Based Vehicle Segmentation Method for Tracking
Our goal is to detect and track moving vehicles on a road observed from cameras placed on poles or buildings. Inter-vehicle occlusion is significant under these conditions and tra...
Xuefeng Song, Ramakant Nevatia