Simbad-fp7.eu - Simbad Project

Provided by Alexa ranking, simbad-fp7.eu has ranked N/A in N/A and 8,585,681 on the world. simbad-fp7.eu reaches roughly 359 users per day and delivers about 10,757 users each month. The domain simbad-fp7.eu uses a Commercial suffix and it's server(s) are located in N/A with the IP number 157.138.20.11 and it is a .eu domain.

About SIMBAD. Traditional pattern recognition techniques are centered around the notion of "feature". According to this view, the objects to be classified are represented in terms of properties that are intrinsic to the object itself. Hence, a typical pattern recognition system makes its decisions by simply looking at one or more feature ...

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Simbad Project
simbad-fp7.eu

http://www.simbad-fp7.eu/

About SIMBAD. Traditional pattern recognition techniques are centered around the notion of "feature". According to this view, the objects to be classified are represented in terms of properties that are intrinsic to the object itself. Hence, a typical pattern recognition system makes its decisions by simply looking at one or more feature ...

DA: 9 PA: 98 MOZ Rank: 94

simbad-fp7 - Europa
europa.eu

https://cordis.europa.eu/docs/projects/cnect/0/213250/080/deliverables/001-wp72final.pdf

- of the SIMBAD project. This is the ﬁnal report on results with discussions about successful approaches and issues that remain still open. Overall, this WP addresses the problem of schizophrenia detection by analyzing magnetic resonance imaging (MRI). In general, mental illness like schizophrenia or bipolar disorders are traditionally di-

DA: 84 PA: 36 MOZ Rank: 99

simbad -fp7 - Europa
europa.eu

https://cordis.europa.eu/docs/projects/cnect/0/213250/080/deliverables/001-SIMBADDeliverable62.pdf

SIMBAD WP6: Analysis of tissue micro-array (TMA) images of renal cell carcinoma. D6.2: Final Work Package Report Peter Schu er, Sharon Wul , Thomas Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann Department of Computer Science ETH Zurich, Switzerland [email protected] September 18, 2011 1 Introduction The clinical work

DA: 84 PA: 22 MOZ Rank: 82

simbad-fp7 - rduin.nl
rduin.nl

http://rduin.nl/papers/simbad_09_nongeo.pdf

Deliverable D3.1 First Dissemination Plan Page 1 / 1 Project acronym SIMBAD Project full title Beyond Features: Similarity-Based

DA: 12 PA: 25 MOZ Rank: 55

Pattern Recognition with Non-Euclidean Similarities
york.ac.uk

https://pure.york.ac.uk/portal/files/53354465/pol_talk3.pdf

The SIMBAD FP7 Project Beyond Features: Similarity-Based Pattern Analysis and Recognition 1. Università Ca' Foscari di Venezia (IT)‏, coordinator 2. University of York (UK)‏ 3. Technische Universität Delft (NL)‏ 4. Insituto Superior Técnico, Lisbon (PL)‏ 5. Università degli Studi di Verona (IT)‏ 6. ETH Zürich (CH)‏

DA: 26 PA: 33 MOZ Rank: 17

The DTW-based representation space for seismic pattern
sciencedirect.com

https://www.sciencedirect.com/science/article/pii/S0098300415001387

Dec 01, 2015 · More specifically, within the EU-FP7 SIMBAD 1 project, a number of advantages of the dissimilarity representation as alternative to the classical feature-based approach have been shown; results are reported in the recent book by Pelillo (2013).

DA: 70 PA: 4 MOZ Rank: 91

SIMBAD: Emergence of Pattern Similarity | SpringerLink
springer.com

https://link.springer.com/chapter/10.1007%2F978-1-4471-5628-4_3

Up to10%cash back · Acknowledgement. This work has been partially supported by the FP7 EU project SIMBAD and by the SNF project 200021_138117. JB acknowledges very stimulating ...

DA: 24 PA: 19 MOZ Rank: 79

Beyond Features: Similarity-Based Pattern Analysis and
ulisboa.pt

https://welcome.isr.tecnico.ulisboa.pt/projects/beyond-features-similarity-based-pattern-analysis-and-recognition/

Torre Norte – 7º Piso, Av.Rovisco Pais, 1 1049-001 Lisboa, Portugal

DA: 97 PA: 57 MOZ Rank: 44

A Survey on Metric Learning for Feature Vectors and
arxiv-vanity.com

https://www.arxiv-vanity.com/papers/1306.6709/

The notion of pairwise metric---used throughout this survey as a generic term for distance, similarity or dissimilarity function---between data points plays an important role in many machine learning, pattern recognition and data mining techniques. 1 1 1 Metric-based learning methods were the focus of the recent SIMBAD European project (ICT 2008-FET 2008-2011).

DA: 8 PA: 98 MOZ Rank: 63

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8,585,681

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359

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10,757

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2,301

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585

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520

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411

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345

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326

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326

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284

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203

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198

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195

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161

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157

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151

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131

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102

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simbad-fp7.eu	NS	IN	21600	Target: x.ns.joker.com
simbad-fp7.eu	NS	IN	21600	Target: y.ns.joker.com
simbad-fp7.eu	NS	IN	21600	Target: z.ns.joker.com
simbad-fp7.eu	SOA	IN	21600	Mname: x.ns.joker.com Rname: hostmaster.joker.com Serial: 2009012773 Refresh: 14400 Retry: 3600 Expire: 604800 Minimum-ttl: 300

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