Approximate clustering via core-sets
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Smaller coresets for k-median and k-means clustering
SCG '05 Proceedings of the twenty-first annual symposium on Computational geometry
On k-Median clustering in high dimensions
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Clustering with Bregman Divergences
The Journal of Machine Learning Research
Quantum Computing and Communications: An Engineering Approach
Quantum Computing and Communications: An Engineering Approach
A PTAS for k-means clustering based on weak coresets
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Clustering for metric and non-metric distance measures
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Preface: Special issue - Quantum structures: Theory and applications
Information Sciences: an International Journal
Markov property in quantum logic: A reflection
Information Sciences: an International Journal
Existence of states on quantum structures
Information Sciences: an International Journal
On minimum Fisher information distributions with restricted support and fixed variance
Information Sciences: an International Journal
Editorial: Modelling uncertainty
Information Sciences: an International Journal
Baldwinian learning in clonal selection algorithm for optimization
Information Sciences: an International Journal
Rényi entropy rate for Gaussian processes
Information Sciences: an International Journal
Properties of a hierarchical network based on the star graph
Information Sciences: an International Journal
Improving the efficiency of use of software engineering practices using product patterns
Information Sciences: an International Journal
Privacy-preserving data mining: A feature set partitioning approach
Information Sciences: an International Journal
Efficient successor retrieval operations for aggregate query processing on clustered road networks
Information Sciences: an International Journal
Information Sciences: an International Journal
Novel geometrical solution to additivity problem of classical quantum channel capacity
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
A transitivity analysis of bipartite rankings in pairwise multi-class classification
Information Sciences: an International Journal
Information Sciences: an International Journal
The Pólya information divergence
Information Sciences: an International Journal
Results on residual Rényi entropy of order statistics and record values
Information Sciences: an International Journal
A history of graph entropy measures
Information Sciences: an International Journal
Enhancing the security of quantum communication by hiding the message in a superposition
Information Sciences: an International Journal
Structured methodology for supplier selection and evaluation in a supply chain
Information Sciences: an International Journal
Channel capacity restoration of noisy optical quantum channels
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
Fitting the smallest enclosing bregman ball
ECML'05 Proceedings of the 16th European conference on Machine Learning
General formulas for capacity of classical-quantum channels
IEEE Transactions on Information Theory
The private classical capacity and quantum capacity of a quantum channel
IEEE Transactions on Information Theory
Superactivation of quantum channels is limited by the quantum relative entropy function
Quantum Information Processing
Superactivation of quantum channels is limited by the quantum relative entropy function
Quantum Information Processing
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The superactivation of zero-capacity quantum channels makes it possible to use two zero-capacity quantum channels with a positive joint capacity for their output. Currently, we have no theoretical background to describe all possible combinations of superactive zero-capacity channels; hence, there may be many other possible combinations. In practice, to discover such superactive zero-capacity channel-pairs, we must analyze an extremely large set of possible quantum states, channel models, and channel probabilities. There is still no extremely efficient algorithmic tool for this purpose. This paper shows an efficient algorithmical method of finding such combinations. Our method can be a very valuable tool for improving the results of fault-tolerant quantum computation and possible communication techniques over very noisy quantum channels.