Resultados totales (Incluyendo duplicados): 54
Encontrada(s) 6 página(s)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
Dataset. 2013

LSI FAR INFRARED PEDESTRIAN DATASET

  • Olmeda Reino, Daniel
  • Premebida, Cristiano
  • Nunes, Urbano
  • Armingol Moreno, José María
  • Escalera Hueso, Arturo de la
The database consists of FIR images collected from a vehicle driven in outdoors urban scenarios. Images were acquired with an Indigo Omega imager, with a resolution of 164x129 pixels, a grey-level scale of 14 bits, and focal length of 318 pixels. The camera was mounted on the exterior of the vehicle, to avoid infrared filtering of the windshield. Recorded images were manually annotated, where each pedestrian is labelled as a bounding box. To prevent bias introduced by border artifacts their height is subsequently upscaled by 5%. The pedestrians appear in an up-right position., The dataset is divided in two: (i) Classification dataset: positives and randomly sampled negatives with a fixed height-width ratio of (1/2) and rescaled to 64x32 pixels, and (ii) Detection Dataset: Original positive and negative images with annotations., The classification Database is divided in a Train and a Test subset. The Train set contains 10208 positives and 43390 negatives, while the Test set contains 5944 positives and 22050 negatives. The annotated bounding boxes are resized to a constant aspect ratio (w/h) = 0.5 by changing their width appropriately. Any bounding box below 10 pixels in height is ignored. The remaining bounding boxes are resized to 64x32 pixels using bilinear interpolation. The negative samples were randomly selected from images not containing pedestrians.

Proyecto: //
DOI: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
HANDLE: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
PMID: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370
Ver en: https://hdl.handle.net/10016/17370
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
oai:e-archivo.uc3m.es:10016/17370

Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/4118
Imagen (Image). 2013

SANCHO EL SABIO FOUNDATION

  • Ercilla, Roberto

Proyecto: //
DOI: http://hdl.handle.net/10357/4118
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/4118
HANDLE: http://hdl.handle.net/10357/4118
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/4118
PMID: http://hdl.handle.net/10357/4118
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/4118
Ver en: http://hdl.handle.net/10357/4118
Memoria Digital Vasca = Euskal Memoria Digitala
oai:www.memoriadigitalvasca.eus:10357/4118

CORA.Repositori de Dades de Recerca
doi:10.34810/data313
Dataset. 2013

TRL MALT PARSER MODULE FOR SPANISH

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
The file espmalt-1.0.mco contains a single malt configuration for parsing Spanish text with MaltParser. The parser presupposes that the input is in CoNLL-X format and tagged with the part-of-speech tags of FreeLing tagger.

Proyecto: //
DOI: https://doi.org/10.34810/data313
CORA.Repositori de Dades de Recerca
doi:10.34810/data313
HANDLE: https://doi.org/10.34810/data313
CORA.Repositori de Dades de Recerca
doi:10.34810/data313
PMID: https://doi.org/10.34810/data313
CORA.Repositori de Dades de Recerca
doi:10.34810/data313
Ver en: https://doi.org/10.34810/data313
CORA.Repositori de Dades de Recerca
doi:10.34810/data313

CORA.Repositori de Dades de Recerca
doi:10.34810/data314
Dataset. 2013

TIBIDABO TREEBANK AND IULA SPANISH LSP TREEBANK TRAIN AND TEST PARTITIONS

  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
  • Marimon, Montserrat
This package contains a partition of the Iula Spanish LSP Treebank into train and test sets to perform Machine Learning experiments. In that way the same partitions can be used by different researchers and their results can be directly compared. In this package we also deliver the Tibidabo Treebank (Marimon 2010) which contains a set of sentences extracted from Ancora corpus annotated in the same way than the Iula Treebank. Tibidabo Treebank is a very good test set for models trained with Iula Spanish LSP Treebank since the sentences that form it from a very different domain than those of the Iula Spanish LSP Treebank.

Proyecto: //
DOI: https://doi.org/10.34810/data314
CORA.Repositori de Dades de Recerca
doi:10.34810/data314
HANDLE: https://doi.org/10.34810/data314
CORA.Repositori de Dades de Recerca
doi:10.34810/data314
PMID: https://doi.org/10.34810/data314
CORA.Repositori de Dades de Recerca
doi:10.34810/data314
Ver en: https://doi.org/10.34810/data314
CORA.Repositori de Dades de Recerca
doi:10.34810/data314

CORA.Repositori de Dades de Recerca
doi:10.34810/data375
Dataset. 2013

PANACEA ENGLISH AUTOMATICALLY ACQUIRED LEXICON FOR ENV DOMAIN: SUBCATEGORIZATION FRAMES AND LEXICAL SEMANTIC CLASSES FOR NOUNS

  • University of Cambridge. Department of Theoretical and Applied Linguistics
  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is a domain-specific lexicon for English for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011.

Proyecto: //
DOI: https://doi.org/10.34810/data375
CORA.Repositori de Dades de Recerca
doi:10.34810/data375
HANDLE: https://doi.org/10.34810/data375
CORA.Repositori de Dades de Recerca
doi:10.34810/data375
PMID: https://doi.org/10.34810/data375
CORA.Repositori de Dades de Recerca
doi:10.34810/data375
Ver en: https://doi.org/10.34810/data375
CORA.Repositori de Dades de Recerca
doi:10.34810/data375

CORA.Repositori de Dades de Recerca
doi:10.34810/data378
Dataset. 2013

PANACEA ENGLISH AUTOMATICALLY ACQUIRED LEXICON FOR LAB DOMAIN: SUBCATEGORIZATION FRAMES AND LEXICAL SEMANTIC CLASSES FOR NOUNS

  • University of Cambridge. Department of Theoretical and Applied Linguistics
  • Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
This is a domain-specific lexicon for English for labour (LAB) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011.

Proyecto: //
DOI: https://doi.org/10.34810/data378
CORA.Repositori de Dades de Recerca
doi:10.34810/data378
HANDLE: https://doi.org/10.34810/data378
CORA.Repositori de Dades de Recerca
doi:10.34810/data378
PMID: https://doi.org/10.34810/data378
CORA.Repositori de Dades de Recerca
doi:10.34810/data378
Ver en: https://doi.org/10.34810/data378
CORA.Repositori de Dades de Recerca
doi:10.34810/data378

CORA.Repositori de Dades de Recerca
doi:10.34810/data430
Dataset. 2013

INTOGEN - TCGA PAN-CANCER12 HIGH CONFIDENCE DRIVERS

  • Tamborero Noguera, David
  • González-Pérez, Abel
  • Pérez Llamas, Christian, 1976-
  • Déu Pons, Jordi
  • Kandoth, Cyriac
  • Reimand, Jüri
  • Lawrence, Michael S.
  • Getz, Gad
  • Bader, Gary D.
  • Ding, Li
  • López Bigas, Núria
This file lists the High Confidence Drivers identified as part of the pan-cancer12 initiative, published in the paper Comprehensive identification of mutational cancer driver genes across 12 tumor types" Scientific Reports 3:2650, 2013, doi:10.1038/srep02650

Proyecto: //
DOI: https://doi.org/10.34810/data430
CORA.Repositori de Dades de Recerca
doi:10.34810/data430
HANDLE: https://doi.org/10.34810/data430
CORA.Repositori de Dades de Recerca
doi:10.34810/data430
PMID: https://doi.org/10.34810/data430
CORA.Repositori de Dades de Recerca
doi:10.34810/data430
Ver en: https://doi.org/10.34810/data430
CORA.Repositori de Dades de Recerca
doi:10.34810/data430

CORA.Repositori de Dades de Recerca
doi:10.34810/data435
Dataset. 2013

INTOGEN - CANCER DRIVER DATABASE (2013)

  • González-Pérez, Abel
  • Pérez Llamas, Christian, 1976-
  • Déu Pons, Jordi
  • Tamborero Noguera, David
  • Schroeder, Michael Philipp, 1986-
  • Jené i Sanz, Alba, 1984-
  • Santos, Alberto
  • López Bigas, Núria
Mutations, genes and pathways involved in tumorigenesis across 4,623 cancer genomes/exomes from 13 cancer sites. IntOGen-mutations identifies cancer drivers across tumor types. Nature Methods 10, 2013, doi:10.1038/nmeth.2642

Proyecto: //
DOI: https://doi.org/10.34810/data435
CORA.Repositori de Dades de Recerca
doi:10.34810/data435
HANDLE: https://doi.org/10.34810/data435
CORA.Repositori de Dades de Recerca
doi:10.34810/data435
PMID: https://doi.org/10.34810/data435
CORA.Repositori de Dades de Recerca
doi:10.34810/data435
Ver en: https://doi.org/10.34810/data435
CORA.Repositori de Dades de Recerca
doi:10.34810/data435

CORA.Repositori de Dades de Recerca
doi:10.34810/data452
Dataset. 2013

TURKISH MAKAM TONIC TEST DATASET V1

  • CompMusic
This release contains annotated tonic frequencies of 257 audio recordings. The SymbTr-scores of the corresponding compositions performed in the audio recordings are also indicated.

Proyecto: //
DOI: https://doi.org/10.34810/data452
CORA.Repositori de Dades de Recerca
doi:10.34810/data452
HANDLE: https://doi.org/10.34810/data452
CORA.Repositori de Dades de Recerca
doi:10.34810/data452
PMID: https://doi.org/10.34810/data452
CORA.Repositori de Dades de Recerca
doi:10.34810/data452
Ver en: https://doi.org/10.34810/data452
CORA.Repositori de Dades de Recerca
doi:10.34810/data452

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17040
Dataset. 2013

DEVELOPMENT OF AN ENVIRONMENTAL DECISION SUPPORT SYSTEM FOR THE SELECTION AND INTEGRATED ASSESSMENT OF PROCESS FLOW DIAGRAMS IN WASTEWATER TREATMENT [DADES DE RECERCA]

  • Garrido Baserba, Manel
Dades de recerca associades a la tesi doctoral: Garrido Baserba, Manel. (2013). Development of an environmental decision support system for the selection and integrated assessment of process flow diagrams in wastewater treatment. [Tesi doctoral, Universitat de Girona, Catalunya]. Recuperat de http://hdl.handle.net/10803/108953, The wastewater treatment plays an important role in the maintenance of natural water resources. However, regardless of the technology used or the level of treatment required, the treatment plants of the XXI century are highly complex systems that not only need to meet technical requirements, but also environmental and economic criteria. In this context, decision support systems for environmental domains (English, Environmental Decision Support Systems or EDSS) are configured as an effective tool to support the selection and evaluation of integrated water treatment alternatives. The EDSS designed can be defined as interactive software, flexible and adaptable, which links the numerical models / algorithms, techniques and environmental ontologies, knowledge-based environment, and is capable of supporting decision making, either in choosing between different alternatives, improving potential solutions, or in the integrated assessment using methodologies ranging from environmental (Life Cycle Analysis) to economic, La depuració d’aigües residuals juga un paper fonamental en el manteniment dels recursos hídrics naturals. Tanmateix, sigui quina sigui la tecnologia emprada o el nivell de depuració requerit, les plantes de tractament del segle XXI són sistemes d’alta complexitat, que no només han de satisfer requeriments de tipus tècnic, sinó també de tipus ambiental i econòmic. En aquest context, els sistemes de suport a la decisió en dominis ambientals (en anglès, Environmental Decision Support Systems o EDSS) es configuren com una eina eficaç per donar suport a la selecció i a l’avaluació integrada de diferents alternatives de depuració d’aigües. El EDSS dissenyat pot definir-se com un programari interactiu, flexible i adaptable, que vincula els models numèrics/algoritmes amb tècniques basades en el coneixement i ontologies ambientals, i que és capaç de donar suport a la presa de decisió, ja sigui en l’elecció entre diferents alternatives, millorant una solució, o bé en l’avaluació integrada a través de metodologies ambientals (Anàlisi de Cicle de Vida) i econòmiques

Proyecto: //
DOI: http://hdl.handle.net/10256/17040
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17040
HANDLE: http://hdl.handle.net/10256/17040
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17040
PMID: http://hdl.handle.net/10256/17040
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17040
Ver en: http://hdl.handle.net/10256/17040
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17040

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