large collections
Static and incremental overlapping clustering algorithms for large collections processing in GPU
... process large col- lections of documents, and (2) we introduce a strategy for incrementally building and updating the connected compo- nents presented in a graph, allowing CUDA-DClus to mi- nimize the memory ...
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Langforia: Language Pipelines for Annotating Large Collections of Documents
... We described Langforia, a multilingual tool for processing text and visualizing annotations. Langforia builds on a multilayer document model (MLDM), structured in the form of a graph and unified tool chains. It enables a ...
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Learnt quasi transitive similarity for retrieval from large collections of faces
... in large data sets [16, ...of large data collections, there has been much progress in video and set- based recognition[3, ...of large data ...the large scale, that of the entire ...
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High throughput phenotyping for aphid resistance in large plant collections
... In this paper we present an aphid-virus system that allows the screening for aphid resistance of a large col- lection of plants. Its versatility is demonstrated using an A. thaliana activation tag mutant ...
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AirLab: a cloud based platform to manage and share antibody based single cell research
... on large collections of antibody stocks and streamlines the processes of purchasing, stor- age, antibody panel creation, results logging, and antibody validation data sharing and ...
6
Towards the Unsupervised Acquisition of Discourse Relations
... results: Large collections of parsed text are used to assess distributional pro- files of relation words that indicate discourse re- lations that are possible between specific types of events; on this ...
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On object orientation as a paradigm for general purpose distributed operating systems
... support large volumes of data and large collections of objects, and in particular, whether or not it aims to support dbms functions other than just storage and ...manage collections of objects ...
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A Multilingual Information Extraction Pipeline for Investigative Journalism
... very large collections of unstructured textual data for the purpose of investigative ...a large German news organi- ...a large collection of files up to several Giga- bytes containing unknown ...
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Quality Assessment of Large Scale Knowledge Resources
... a large set of innovative processes and tools for large-scale automatic acquisition of lexical knowledge from structured or unstructured ...2001), large collections of semantic preferences ...
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How Does Exploration Impact IR Performance in Large Document Collections?
... handle large collections of electronic ...through large electronic document collections by facilitating context and content understanding through multiple ...a large corpus of ...
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General guidelines for designing bilingual low cost digital library services suitable for special library users in developing countries and the Arabic speaking world
... Considerable problems could be faced in the process of building Arabic collections. In fact, the problem with the Arabic language in this respect is due to the weakness of the Optical Character Recognition system ...
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Planning the digitisation, storage and access of large scale audiovisual archives
... Broadcast archives face many decisions when planning the long term preservation of their assets. These problems are not unique to broadcast archives and apply equally to any large archive held as items on shelves ...
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Big Data Overview for Twister2 Tutorial
... 13-15 are very similar to disaster response problems. They involve extensive “Classic Data+ML” for sensor collections and/or image processing. GIS and spatial analysis are important as in BDEC2 Pathology and ...
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Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
... Bandits with structure. Numerous papers enriched the basic MAB setting by assuming some structure on arms, typically in order to handle settings where the number of arms is very large or infinite. Most relevant to ...
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Searching Large Scale Image Collections
... We presented a novel algorithm, MDBoW, and showed that using multiple independent dictionaries built from different subsets of the features increases significantly the recognition perfor[r] ...
149
1407.pdf
... their collections because, if the grant is successful, production must start almost immediately upon receipt of ...selected collections, issues arose that could impact the other ...
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Scholars’ research-related personal information collections: A study of education and health researchers in a Kuwaiti University
... me specific documents. Many of these documents are not unique and many are actually unread. Publically available material are kept because of distrust of such sources. A key issue remains coordinating print and ...
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Hierarchical ensemble classification: towards the classification of data collections that feature large numbers of class labels
... The ECOC method operates by changing the definition of the class a single classifier has to learn [28]. The original motivation for ECOC was to improve the operation of binary classification but it can be applied with ...
293
“Big Data” Versus “Big Brother”: On the Appropriate Use of Large-scale Data Collections in Pediatrics
... example, large data sets can be used to uncover the effects of exposures that may have small effects on individuals but large cumulative effects on ...
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ROOTS: a toolkit for easy, fast and consistent processing of large sequential annotated data collections
... The development of new methods for given speech and natural language processing tasks usually consists in annotating large corpora of data before applying machine learning techniques to train models or to extract ...
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