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PR
2010
129views more  PR 2010»
14 years 8 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
ICMLA
2009
14 years 7 months ago
Structured Prediction Models for Chord Transcription of Music Audio
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
Adrian Weller, Daniel P. W. Ellis, Tony Jebara
DAC
1998
ACM
15 years 2 months ago
A Tool for Performance Estimation of Networked Embedded End-systems
Networked embedded systems are expected to support adaptive streaming audio/video applications with soft real-time constraints. These systems can be designed in a cost efficient ...
Asawaree Kalavade, Pratyush Moghé
HICSS
2007
IEEE
120views Biometrics» more  HICSS 2007»
15 years 4 months ago
The Role of a Shared Mental Model of Collaboration Technology in Facilitating Knowledge Work in Virtual Teams
We studied 52 field examples interaction breakdown in information technology project virtual teams and actions leaders took to fix it using information and communication technolog...
Dominic M. Thomas, Robert P. Bostrom
SBRN
2000
IEEE
15 years 2 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...