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ICRA
2000
IEEE
111views Robotics» more  ICRA 2000»
15 years 9 months ago
Learning Globally Consistent Maps by Relaxation
Mobile robots require the ability to build their own maps to operate in unknown environments. A fundamental problem is that odometry-based dead reckoning cannot be used to assign ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
ICIP
2009
IEEE
16 years 5 months ago
Improved Global Cardiac Tractography With Simulated Annealing
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
CSREASAM
2009
15 years 5 months ago
Security Level Determination Using Branes for Contextual Based Global Processing: An Architecture
This paper presents the basics of a new paradigm that allows generators and consumers of global contextual information to determine an appropriate security level needed for contex...
Greg Vert, Evangelos Triantaphyllou
147
Voted
PAMI
2006
111views more  PAMI 2006»
15 years 4 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
158
Voted
AROBOTS
2002
91views more  AROBOTS 2002»
15 years 4 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro