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» Measuring and Predicting Object Importance
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BMCBI
2008
152views more  BMCBI 2008»
13 years 8 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
SPEECH
2011
13 years 3 months ago
SNR loss: A new objective measure for predicting the intelligibility of noise-suppressed speech
Most of the existing intelligibility measures do not account for the distortions present in processed speech, such as those introduced by speech-enhancement algorithms. In the pre...
Jianfen Ma, Philipos C. Loizou
APSEC
2005
IEEE
14 years 2 months ago
An Industrial Case Study on Requirements Volatility Measures
Requirements volatility is an important risk factor for software projects. Software measures can help in quantifying and predicting this risk. In this paper, we present an industr...
Annabella Loconsole, Jürgen Börstler
ICIP
2003
IEEE
14 years 10 months ago
Audio-visual speaker tracking with importance particle filters
We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and ...
Daniel Gatica-Perez, Guillaume Lathoud, Iain McCow...
SIAMIS
2010
129views more  SIAMIS 2010»
13 years 3 months ago
Compressed Remote Sensing of Sparse Objects
Abstract. The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity ...
Albert Fannjiang, Thomas Strohmer, Pengchong Yan