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» Selectivity Estimation using Probabilistic Models
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NIPS
2004
15 years 3 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
NAACL
2003
15 years 3 months ago
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
Brian Roark, Michiel Bacchiani
PAMI
2007
222views more  PAMI 2007»
15 years 2 months ago
MonoSLAM: Real-Time Single Camera SLAM
—We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM,...
Andrew J. Davison, Ian D. Reid, Nicholas Molton, O...
112
Voted
TRECVID
2008
15 years 3 months ago
The Lowlands Team at TRECVID 2008
Id: trecvid2008.tex 197 2008-10-23 13:28:48Z alyr Date: 2008-10-23 15:28:48 +0200 (Thu, 23 Oct 2008) Type Run Description MAP/mean infAP HLF Official H utcwiprimw146 Our prelimina...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Hen...
164
Voted
CEC
2011
IEEE
14 years 2 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...