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166
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AAAI
2011
14 years 3 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
154
Voted
ALGOSENSORS
2004
Springer
15 years 9 months ago
Constrained Flow Optimization with Applications to Data Gathering in Sensor Networks
We focus on data gathering problems in energy-constrained wireless sensor networks. We study store-and-gather problems where data are locally stored on the sensors before the data ...
Bo Hong, Viktor K. Prasanna
IDEAS
2009
IEEE
129views Database» more  IDEAS 2009»
15 years 1 months ago
Speeding-up data-driven applications with program summaries
We consider the class of database programs and address the problem of minimizing the cost of their exchanges with the database server. This cost partly consists of query execution...
Sonia Guehis, Virginie Goasdoué-Thion, Phil...
140
Voted
SAFECOMP
1998
Springer
15 years 8 months ago
An Agenda for Specifying Software Components with Complex Data Models
Abstract. We present a method to specify software for a special kind of safetycritical embedded systems, where sensors deliver low-level values that must be abstracted and pre-proc...
Kirsten Winter, Thomas Santen, Maritta Heisel
ISCAS
2007
IEEE
179views Hardware» more  ISCAS 2007»
15 years 10 months ago
A Batteryless Vibration-based Energy Harvesting System for Ultra Low Power Ubiquitous Applications
—In this paper, we propose a vibration driven energy harvesting platform based on piezoelectric material. A new maximum power point tracking (MPPT) method for this platform is al...
Lu Chao, Chi-Ying Tsui, Wing-Hung Ki