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NIPS
2008
13 years 6 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 5 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
DAC
2003
ACM
13 years 10 months ago
Low-power design methodology for an on-chip bus with adaptive bandwidth capability
This paper describes a low-power design methodology for a bus architecture based on hybrid current/voltage mode signaling for deep sub-micrometer on-chip interconnects that achiev...
Rizwan Bashirullah, Wentai Liu, Ralph K. Cavin III
ICCD
2005
IEEE
131views Hardware» more  ICCD 2005»
13 years 10 months ago
Efficient Thermal Simulation for Run-Time Temperature Tracking and Management
As power density increases exponentially, run-time regulation of operating temperature by dynamic thermal management becomes imperative. This paper proposes a novel approach to re...
Hang Li, Pu Liu, Zhenyu Qi, Lingling Jin, Wei Wu, ...
ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
13 years 2 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison