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» Gaussian Process Change Point Models
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ICASSP
2009
IEEE
15 years 4 months ago
Modeling instantaneous intonation for speaker identification using the fundamental frequency variation spectrum
In recent years, the field of automatic speaker identification has begun to exploit high-level sources of speaker-discriminative information, in addition to traditional models o...
Kornel Laskowski, Qin Jin
SAC
2008
ACM
14 years 9 months ago
Error estimation in wireless sensor networks
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
Alejandro César Frery, Heitor Ramos, Jos&ea...
65
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ICCV
2005
IEEE
15 years 3 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
ICCV
2007
IEEE
15 years 11 months ago
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. ...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 4 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou