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SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
14 years 1 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
14 years 14 days ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba
IJHIS
2006
94views more  IJHIS 2006»
13 years 8 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
ICIP
2007
IEEE
14 years 10 months ago
A New Angle-Based Spatial Modeling for Query by Visual Thesaurus Composition
Querying by Visual Thesaurus (VT) is a novel paradigm for content-based image retrieval approaches for it gives the user the possibility, in case of inappropriate starting example...
Hichem Houissa, Nozha Boujemaa
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
14 years 3 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams