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ICASSP
2011
IEEE
14 years 10 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
ICASSP
2011
IEEE
14 years 10 months ago
User selection schemes for maximizing throughput of multiuser MIMO systems using Zero Forcing Beamforming
The performance of a multiuser MIMO broadcast system depends highly on how the users being served are selected from the pool of users requesting service. Though dirty paper coding...
Anh H. Nguyen, Bhaskar D. Rao
ICASSP
2011
IEEE
14 years 10 months ago
Front-end feature transforms with context filtering for speaker adaptation
Feature-space transforms such as feature-space maximum likelihood linear regression (FMLLR) are very effective speaker adaptation technique, especially on mismatched test data. In...
Jing Huang, Karthik Visweswariah, Peder A. Olsen, ...
CEC
2010
IEEE
14 years 10 months ago
A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment
— Efficient vehicle path planning in hostile environment to carry out rescue or tactical logistic missions remains very challenging. Most approaches reported so far relies on key...
Jean Berger, Khaled Jabeur, Abdeslem Boukhtouta, A...
GIS
2011
ACM
14 years 10 months ago
Embedding rivers in triangulated irregular networks with linear programming
Data conflation is a major issue in GIS: different geospatial data sets covering overlapping regions, possibly obtained from different sources and using different acquisition ...
Marc J. van Kreveld, Rodrigo I. Silveira
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