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Project Goal is for you to conduct an in-depth investigation of a HVAC component Select your component and e-mail your 3 top preferences (numbered) by
Project Goal is for you to conduct an in-depth investigation of a HVAC component Select your component and e-mail your 3 top preferences (numbered) by
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Particle Filters for Localization & Abnormality Detection Dan Bryce Markoviana Reading Group Saturday, May 16, 2015
Particle Filters for Localization & Abnormality Detection Dan Bryce Markoviana Reading Group Saturday, May 16, 2015
217 views
O Introduction: Robot Vision Philippe Martinet o Unifying Vision and Control Selim Benhimane o Efficient Keypoint Recognition Vincent Lepetit o Multi-camera
O Introduction: Robot Vision Philippe Martinet o Unifying Vision and Control Selim Benhimane o Efficient Keypoint Recognition Vincent Lepetit o Multi-camera
213 views
Hidden Markov Models and Graphical Models CS294: Practical Machine Learning Oct. 8, 2009 Alex Simma (asimma@eecs) Based on slides by Erik Sudderth
Hidden Markov Models and Graphical Models CS294: Practical Machine Learning Oct. 8, 2009 Alex Simma (asimma@eecs) Based on slides by Erik Sudderth
227 views
Perspectives on System Identification Lennart Ljung Linköping University, Sweden
Perspectives on System Identification Lennart Ljung Linköping University, Sweden
259 views
1 Robust Video Stabilization Based on Particle Filter Tracking of Projected Camera Motion (IEEE 2009) Junlan Yang University of Illinois,Chicago
1 Robust Video Stabilization Based on Particle Filter Tracking of Projected Camera Motion (IEEE 2009) Junlan Yang University of Illinois,Chicago
216 views
Learning in Artificial Sensorimotor Systems Daniel D. Lee
Learning in Artificial Sensorimotor Systems Daniel D. Lee
219 views
Probabilistic Robotics FastSLAM. 2 SLAM stands for simultaneous localization and mapping The task of building a map while estimating the pose of the
Probabilistic Robotics FastSLAM. 2 SLAM stands for simultaneous localization and mapping The task of building a map while estimating the pose of the
218 views
Robust Monte Carlo Localization for Mobile Robots Thomas Coffee Based on: Thrun S, Fox D, Burgard W, Dellaert F Robust Monte Carlo Localization for Mobile
Robust Monte Carlo Localization for Mobile Robots Thomas Coffee Based on: Thrun S, Fox D, Burgard W, Dellaert F Robust Monte Carlo Localization for Mobile
215 views
Computer Vision Non-linear tracking Marc Pollefeys COMP 256 Some slides and illustrations from D. Forsyth, M. Isard, T. Darrell …
Computer Vision Non-linear tracking Marc Pollefeys COMP 256 Some slides and illustrations from D. Forsyth, M. Isard, T. Darrell …
215 views
Particle Filters Importance Sampling Unfortunately it is often not possible to sample directly from the posterior distribution, but we can use importance
Particle Filters Importance Sampling Unfortunately it is often not possible to sample directly from the posterior distribution, but we can use importance
218 views
Rowing Motion Capture System Simon Fothergill Ph.D. student, Digital Technology Group, Computer Laboratory Jesus College graduate conference May 2009
Rowing Motion Capture System Simon Fothergill Ph.D. student, Digital Technology Group, Computer Laboratory Jesus College graduate conference May 2009
214 views