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ICML
2004
IEEE
16 years 8 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
ASPDAC
2007
ACM
82views Hardware» more  ASPDAC 2007»
15 years 11 months ago
Fast Buffer Insertion for Yield Optimization Under Process Variations
With the emerging process variations in fabrication, the traditional corner-based timing optimization techniques become prohibitive. Buffer insertion is a very useful technique fo...
Ruiming Chen, Hai Zhou
164
Voted
VTC
2008
IEEE
114views Communications» more  VTC 2008»
16 years 1 months ago
Code Aided Joint Frame Synchronization and Channel Estimation for Uplink MC-CDMA in the Presence of Narrowband Interference
Spectrum-overlay scenarios for wide-band multi-carrier (MC) systems bring new technical challenges along that must be considered during the system design. In such scenarios, the r...
Mohamed Marey, Mamoun Guenach, Heidi Steendam
CIKM
2010
Springer
15 years 5 months ago
A method for discovering components of human rituals from streams of sensor data
This paper describes an algorithm for determining if an event occurs persistently within an interval where the interval is periodic but the event is not. The goal of the algorithm...
Athanasios Bamis, Jia Fang, Andreas Savvides
ICIP
1995
IEEE
16 years 8 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...