Filtering for High Dimension Spatial Systems Jonathan Briggs Department of Statistics University of Auckland.
Robin Hogan, Julien Delanoe and Nicola Pounder University of Reading Towards unified retrievals of clouds, precipitation and aerosols.
1 Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization Joint work with Andreas Krause 1 Daniel Golovin.
PARAMETER ESTIMATION FOR ODES USING A CROSS-ENTROPY APPROACH Wayne Enright Bo Wang University of Toronto.
Modeling Electrical Resistivity With RES2DMOD
U NIVERSITY OF M ASSACHUSETTS, A MHERST Department of Computer Science Solving POMDPs Using Quadratically Constrained Linear Programs Christopher Amato.
Movable Electrodes & Feature- Based Decoding S. Cao, Z. Nenadic, D. Meeker, R. Andersen E. Branchaud, J. Cham, J. Burdick Engineering & Applied Science.
Kurt Bryan Rose-Hulman Institute of Technology (On leave to the U.S. Air Force Academy, 2010-2011) Seeing the Unseeable The Mathematics of Inverse Problems.
Pointwise Shape-Adaptive DCT for denoising and image reconstruction: denoising, deblocking and deblurring for grayscale and color images continue... Tampere.
1 Decentralised Adaptive Sampling of Wireless Sensor Networks Johnsen Kho Alex Rogers Nicholas R. Jennings {jk05r,acr,nrj}@ecs.soton.ac.uk.
Www.kingston.ac.uk/dirc Dr Graeme A. Jones tools from the vision tool box Kalman Tracker - noise and filter design.
Building a Semantic Taxonomy Using this classifier we may now extend and construct semantic taxonomies. We assume that the semantic taxonomy is a directed.
