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TASLP
2010
153views more  TASLP 2010»
15 years 5 months ago
On Optimal Frequency-Domain Multichannel Linear Filtering for Noise Reduction
Abstract—Several contributions have been made so far to develop optimal multichannel linear filtering approaches and show their ability to reduce the acoustic noise. However, th...
Mehrez Souden, Jacob Benesty, Sofiène Affes
PRL
2010
149views more  PRL 2010»
15 years 1 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
DAC
2007
ACM
16 years 7 months ago
RQL: Global Placement via Relaxed Quadratic Spreading and Linearization
This paper describes a simple and effective quadratic placement algorithm called RQL. We show that a good quadratic placement, followed by local wirelength-driven spreading can pr...
Natarajan Viswanathan, Gi-Joon Nam, Charles J. Alp...
DAC
2007
ACM
16 years 7 months ago
An Integer Linear Programming Based Routing Algorithm for Flip-Chip Design
The flip-chip package provides a high chip-density solution to the demand for more I/O pads of VLSI designs. In this paper, we present the first routing algorithm in the literatur...
Jia-Wei Fang, Chin-Hsiung Hsu, Yao-Wen Chang
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales