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EUROPAR
2009
Springer
15 years 11 months ago
Real-Time Issues in Live Migration of Virtual Machines
This paper addresses the issue of how to meet the strict timing constraints of (soft) real-time virtualized applications while the Virtual Machine (VM) hosting them is undergoing a...
Fabio Checconi, Tommaso Cucinotta, Manuel Stein
ICIP
1999
IEEE
15 years 10 months ago
The Shape of Illusory Figures
We have been developing a stochastic model for figure-ground separation[9][3][12]. The model selects/constructs theforeground with preferenceforfigures with "moreconvex"...
Davi Geiger, Krishnan Kumaran, Hsing-Kuo Pao, Nava...
ICONIP
2008
15 years 7 months ago
On Similarity Measures for Spike Trains
A variety of (dis)similarity measures for one-dimensional point processes (e.g., spike trains) are investigated, including the Victor-Purpura distance metric, the van Rossum distan...
Justin Dauwels, François B. Vialatte, Theop...
CAINE
2003
15 years 7 months ago
POMDP Planning for High Level UAV Decisions: Search vs. Strike
The Partially Observable Markov Decision Process (POMDP) model is explored for high level decision making for Unmanned Air Vehicles (UAVs). The type of UAV modeled is a flying mun...
Doug Schesvold, Jingpeng Tang, Benzir Md Ahmed, Ka...
NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller