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SGAI
2007
Springer
15 years 11 months ago
Learning Sets of Sub-Models for Spatio-Temporal Prediction
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
Andrew Bennett, Derek R. Magee
EUROPAR
2008
Springer
15 years 6 months ago
A Software Component Model with Spatial and Temporal Compositions for Grid Infrastructures
Abstract. Grids are very complex and volatile infrastructures that exhibit parallel and distributed characteristics. To harness their complexity as well as the increasing intricacy...
Hinde-Lilia Bouziane, Christian Pérez, Thie...
MVA
1992
105views Computer Vision» more  MVA 1992»
15 years 5 months ago
Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence
In this paper, a ncw approach of a 3D human motion tracking mcthod in rcal time is proposed. The basis of thc nicthod is thc use of two scgrncntations, one temporal and the othcr ...
Frédéric Elsner, Khaled Hacine, Nace...
CORR
2006
Springer
111views Education» more  CORR 2006»
15 years 4 months ago
An associative memory for the on-line recognition and prediction of temporal sequences
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
CISS
2007
IEEE
15 years 11 months ago
Sensor Location through Linear Programming with Arrival Angle Constraints
Abstract— In previous work, we established a linear programming framework to determine sensor location from measured link distances between neighboring nodes in a network. Beside...
Camillo Gentile, John Shiu