In quantum mechanics, in particular quantum information, the Range criterion is a necessary condition that a state must satisfy in order to be… (More)

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2017

2017

- Daichi Amagata, Takahiro Hara
- ACM Trans. Spatial Algorithms and Systems
- 2017

This article addresses the MaxRS (Maximizing Range Sum) monitoring problem. Given a set of weighted spatial stream objects, this… (More)

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2016

2016

- Hui Zhao, Sha Guo, Naihuan Jing, Shao-Ming Fei
- Quantum Information Processing
- 2016

We present a construction of new bound entangled states from given bound entangled states for arbitrary dimensional bipartite… (More)

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2015

2015

- Srinivasan Arunachalam, Nathaniel Johnston, Vincent Russo
- Quantum Information & Computation
- 2015

The absolute separability problem asks for a characterization of the quantum states ρ ∈ Mm ⊗Mn with the property that UρU† is… (More)

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2014

2014

- Sébastien Lefèvre, Laetitia Chapel, François Merciol
- 2014 6th Workshop on Hyperspectral Image and…
- 2014

Mapping of remote sensing data is usually done through image classification. For hyperspectral images, the classification process… (More)

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Review

2012

Review

2012

- Jérôme Vidot, Eva Borbas
- 2012

This proceeding describes the scientific approach and a preliminary validation of the visible and near infrared land… (More)

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2007

2007

The goal of this paper is to compare the results of reverberation time measurements obtained with different well-established… (More)

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2007

2007

- Zhang Jing, Liu Hai-ying
- 2007 1st International Conference on…
- 2007

This paper analyse the age makeup of oratosquillaorator age at dalian sea entrance by use of the clustering method. According to… (More)

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2006

2006

Quantum entangled states are used as key resources in quantum information processing such as quantum teleportation, cryptography… (More)

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2006

2006

We give a further investigation of the range criterion and Low-to-High Rank Generating Mode (LHRGM) introduced in [17], which can… (More)

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2001

2001

- Yonglong Wang, Bill Samson, David Ellison, Louis Natanson
- Neural Computing & Applications
- 2001

Active learning balances the cost of data acquisition against its usefulness for training. We select only those data points which… (More)

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