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99
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TSP
2008
135views more  TSP 2008»
15 years 2 months ago
Nonlinear Channel Equalization With Gaussian Processes for Regression
We propose Gaussian processes for regression as a novel nonlinear equalizer for digital communications receivers. GPR's main advantage, compared to previous nonlinear estimat...
Fernando Pérez-Cruz, Juan José Muril...
96
Voted
IJDMB
2011
85views more  IJDMB 2011»
14 years 9 months ago
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Tamara Polajnar, Simon Rogers, Mark Girolami
119
Voted
ICCCN
2007
IEEE
15 years 9 months ago
Safeguarding Mutable Fields in AODV Route Discovery Process
— Assuring cryptographic integrity of mutable fields in any on-demand ad hoc routing protocol is more challenging than that of non mutable fields. We propose an efficient auth...
Kulasekaran A. Sivakumar, Mahalingam Ramkumar
99
Voted
IGARSS
2009
15 years 9 days ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) m...
Gabriel Vasile, Jean Philippe Ovarlez, Fréd...
106
Voted
ISCA
2009
IEEE
161views Hardware» more  ISCA 2009»
15 years 9 months ago
AnySP: anytime anywhere anyway signal processing
In the past decade, the proliferation of mobile devices has increased at a spectacular rate. There are now more than 3.3 billion active cell phones in the world—a device that we...
Mark Woh, Sangwon Seo, Scott A. Mahlke, Trevor N. ...