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» The Convergence of Iterated Classification
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120
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VTC
2010
IEEE
176views Communications» more  VTC 2010»
14 years 11 months ago
Exploiting Redundancy in Iterative H.264 Joint Source and Channel Decoding For Robust Video Transmission
— In this paper we propose joint optimisation of soft-bit assisted iterative joint source and channel decoding with the aid of our proposed EXIT chart optimised redundant source ...
Nasruminallah, Lajos Hanzo
85
Voted
SIAMJO
2002
77views more  SIAMJO 2002»
15 years 10 days ago
Modifying SQP for Degenerate Problems
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...
Stephen J. Wright
76
Voted
ICASSP
2010
IEEE
15 years 26 days ago
A union of incoherent spaces model for classification
We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data...
Karin Schnass, Pierre Vandergheynst
AAAI
1996
15 years 2 months ago
Constructive Neural Network Learning Algorithms
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
Rajesh Parekh, Jihoon Yang, Vasant Honavar
PODC
2010
ACM
15 years 2 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom