Constellation Field

Results: 68



#Item
1Earth Planets Space, 65, 1285–1294, 2013  Determining field-aligned currents with the Swarm constellation mission Patricia Ritter, Hermann L¨uhr, and Jan Rauberg GFZ German Centre for Geosciences, Potsdam, Germany (Re

Earth Planets Space, 65, 1285–1294, 2013 Determining field-aligned currents with the Swarm constellation mission Patricia Ritter, Hermann L¨uhr, and Jan Rauberg GFZ German Centre for Geosciences, Potsdam, Germany (Re

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Source URL: www.terrapub.co.jp

Language: English - Date: 2013-11-21 23:01:40
2Advanced Applied Psycho- Neurobiology “Genetic and Epigenetic Healing with APN Autonomic Response Testing, Psychokinesiology (PK), Mental Field Technique (MFT), Family Constellation Work and Klinghardt Light Modulation

Advanced Applied Psycho- Neurobiology “Genetic and Epigenetic Healing with APN Autonomic Response Testing, Psychokinesiology (PK), Mental Field Technique (MFT), Family Constellation Work and Klinghardt Light Modulation

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Source URL: www.klinghardtacademy.com

Language: English - Date: 2015-12-18 11:37:32
    3The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects John Winn Microsoft Research Cambridge Cambridge, UK

    The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects John Winn Microsoft Research Cambridge Cambridge, UK

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    Source URL: jamie.shotton.org

    Language: English - Date: 2013-04-10 20:14:48
    4TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1

    TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1

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    Source URL: jamie.shotton.org

    Language: English - Date: 2013-04-10 20:16:06
    5The XMM-Newton survey in the Chandra Deep Field South Piero Ranalli, Università di Bologna with Andrea Comastri (P.I.) Xavier Barcons

    The XMM-Newton survey in the Chandra Deep Field South Piero Ranalli, Università di Bologna with Andrea Comastri (P.I.) Xavier Barcons

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    Source URL: constellation.gsfc.nasa.gov

    Language: English - Date: 2011-03-25 11:25:30
    6Amy answers your questions about the World Wide Web at www.4Kids.org/askamy What is the best pizza topping?

    Amy answers your questions about the World Wide Web at www.4Kids.org/askamy What is the best pizza topping?

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    Source URL: images.gocomics.com

    Language: English - Date: 2011-02-10 12:57:12
    7K2 Proposal on behalf of KASC WG3 (field 2 & 3)  Asteroseismology of Beta Cephei stars Prepared by Peter De Cat, Victoria Antoci & Luis Balona Even nowadays, the interior structure of main sequence stars and their tempor

    K2 Proposal on behalf of KASC WG3 (field 2 & 3) Asteroseismology of Beta Cephei stars Prepared by Peter De Cat, Victoria Antoci & Luis Balona Even nowadays, the interior structure of main sequence stars and their tempor

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    Source URL: keplerscience.arc.nasa.gov

    Language: English - Date: 2015-04-02 16:37:17
    8TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1

    TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1

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    Source URL: research.microsoft.com

    Language: English - Date: 2006-02-14 13:30:00
    9PURPOSE OF ceti CETI is a tool provided to businesses to favour and accelerate innovation in the field of advanced textiles. More than a tool, CETI is also a place for inventing, experimenting and developing new products

    PURPOSE OF ceti CETI is a tool provided to businesses to favour and accelerate innovation in the field of advanced textiles. More than a tool, CETI is also a place for inventing, experimenting and developing new products

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    Source URL: www.ceti.com

    Language: English - Date: 2013-01-16 11:02:09
      10Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles

      Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles

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      Source URL: people.csail.mit.edu

      Language: English - Date: 2008-06-10 16:49:54