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CCE
2007
15 years 24 days ago
A multiple model, state feedback strategy for robust control of non-linear processes
In order to achieve global stability using well-established linear control theory and techniques, a multiple model approach has attracted increased attention in recent years. In o...
F. Y. Wang, Parisa A. Bahri, Peter L. Lee, I. T. C...
NETWORK
2010
119views more  NETWORK 2010»
14 years 7 months ago
A multiple failure propagation model in GMPLS-based networks
In this article, a new model to simulate different failure propagation scenarios in GMPLS-based networks is proposed. Several types of failures and malfunctions may spread along t...
Eusebi Calle, J. Ripoll, J. Segovia, Pere Vil&agra...
EMMCVPR
2011
Springer
14 years 16 days ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
130
Voted
ICPP
2009
IEEE
15 years 7 months ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
107
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...