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» Optimistic Planning of Deterministic Systems
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IJCV
2008
157views more  IJCV 2008»
13 years 7 months ago
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
Systems utilizing multiple sensors are required in many domains. In this paper, we specifically concern ourselves with applications where dynamic objects appear randomly and the s...
Anurag Mittal, Larry S. Davis
SIGMOD
2000
ACM
141views Database» more  SIGMOD 2000»
13 years 12 months ago
Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer
Testing an SQL database system by running large sets of deterministic or stochastic SQL statements is common practice in commercial database development. However, code defects oft...
Florian Waas, César A. Galindo-Legaria
INLG
2010
Springer
13 years 5 months ago
Helping Our Own: Text Massaging for Computational Linguistics as a New Shared Task
In this paper, we propose a new shared task called HOO: Helping Our Own. The aim is to use tools and techniques developed in computational linguistics to help people writing about...
Robert Dale, Adam Kilgarriff
UAI
2008
13 years 9 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi