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BMVC
2010
13 years 8 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
ICS
2005
Tsinghua U.
14 years 3 months ago
Think globally, search locally
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
Kamen Yotov, Keshav Pingali, Paul Stodghill
IBERAMIA
2004
Springer
14 years 3 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
PR
2007
114views more  PR 2007»
13 years 9 months ago
Distributed Markovian segmentation: Application to MR brain scans
A situated approach to Markovian image segmentation is proposed based on a distributed, decentralized and cooperative strategy for model estimation. According to this approach, th...
Nathalie Richard, Michel Dojat, Catherine Garbay
ICASSP
2011
IEEE
13 years 1 months ago
Multi-sensor estimation and detection of phase-locked sinusoids
This paper proposes a method to compute the likelihood function for the amplitudes and phase shifts of noisily observed phase-locked and amplitude-constrained sinusoids. The sinus...
Christoph Reller, Hans-Andrea Loeliger, Stefano Ma...