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126
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ICASSP
2009
IEEE
15 years 10 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
EUROGP
2009
Springer
149views Optimization» more  EUROGP 2009»
15 years 10 months ago
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
José Luis Montaña, César Luis...
128
Voted
GLVLSI
2008
IEEE
204views VLSI» more  GLVLSI 2008»
15 years 10 months ago
NBTI resilient circuits using adaptive body biasing
Reliability has become a practical concern in today’s VLSI design with advanced technologies. In-situ sensors have been proposed for reliability monitoring to provide advance wa...
Zhenyu Qi, Mircea R. Stan
142
Voted
IWSOS
2007
Springer
15 years 9 months ago
The Development of a Wireless Sensor Network Sensing Node Utilising Adaptive Self-diagnostics
— In Wireless Sensor Network (WSN) applications, sensor nodes are often deployed in harsh environments. Routine maintenance, fault detection and correction is difficult, infrequ...
Hai Li, Mark C. Price, Jonathan Stott, Ian W. Mars...
142
Voted
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
15 years 9 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...