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» Reformulating Constraint Models Using Input Data
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108
Voted
CDC
2009
IEEE
106views Control Systems» more  CDC 2009»
15 years 7 months ago
Gradient methods for iterative distributed control synthesis
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
Karl Martensson, Anders Rantzer
136
Voted
CACM
2010
161views more  CACM 2010»
15 years 1 months ago
Efficiently searching for similar images
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
Kristen Grauman
177
Voted
JCST
2010
122views more  JCST 2010»
15 years 1 months ago
Harmonic Field Based Volume Model Construction from Triangle Soup
Surface triangle meshes and volume data are two commonly used representations of digital geometry. Converting from triangle meshes to volume data is challenging, since triangle mes...
Chao-Hui Shen, Guo-Xin Zhang, Yu-Kun Lai, Shi-Min ...
112
Voted
ICDAR
2003
IEEE
15 years 8 months ago
A Constraint-based Approach to Table Structure Derivation
er presents an approach to deriving an abstract geometric model of a table from a physical representation. The technique developed uses a graph of constraints between cells which ...
Matthew Hurst
130
Voted
IEEEARES
2007
IEEE
15 years 9 months ago
Applying a Tradeoff Model (TOM) to TACT
In a software system, it is inevitable that components will occasionally fail to produce acceptable results and become unavailable to serve its clients. Replication is the techniq...
Raihan Al-Ekram, Richard C. Holt, Chris Hobbs