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Modeling annotated data

by David M. Blei, Michael I. Jordan - IN PROC. OF THE 26TH INTL. ACM SIGIR CONFERENCE , 2003
"... We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as an image). We describe three hierarchical probabilistic mixture models that are aimed at such data, culminating in the Cor ..."
Abstract - Cited by 443 (12 self) - Add to MetaCart
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as an image). We describe three hierarchical probabilistic mixture models that are aimed at such data, culminating

Activity recognition from user-annotated acceleration data

by Ling Bao, Stephen S. Intille , 2004
"... In this work, algorithms are developed and evaluated to detect physical activities from data acquired using five small biaxial accelerometers worn simultaneously on different parts of the body. Acceleration data was collected from 20 subjects without researcher supervision or observation. Subjects ..."
Abstract - Cited by 515 (7 self) - Add to MetaCart
In this work, algorithms are developed and evaluated to detect physical activities from data acquired using five small biaxial accelerometers worn simultaneously on different parts of the body. Acceleration data was collected from 20 subjects without researcher supervision or observation

miRBase: integrating microRNA annotation and deep-sequencing data

by Ana Kozomara, Sam Griffiths-jones - Nucleic Acids Res , 2011
"... data ..."
Abstract - Cited by 545 (11 self) - Add to MetaCart
data

Introduction to Annotated Data Types Annotated data

by Gordon Cichon
"... types have proven to be a practical description form for interfaces of SoC components to random addressable buses (see [1]). The central idea behind this new approach is to define a component’s interface to a random addressable bus ..."
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types have proven to be a practical description form for interfaces of SoC components to random addressable buses (see [1]). The central idea behind this new approach is to define a component’s interface to a random addressable bus

LabelMe: A Database and Web-Based Tool for Image Annotation

by B. C. Russell, A. Torralba, K. P. Murphy, W. T. Freeman , 2008
"... We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a web-based tool that allows easy image annotation and instant sha ..."
Abstract - Cited by 679 (46 self) - Add to MetaCart
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a web-based tool that allows easy image annotation and instant

Building a Large Annotated Corpus of English: The Penn Treebank

by Mitchell P. Marcus, Beatrice Santorini, Mary Ann Marcinkiewicz - COMPUTATIONAL LINGUISTICS , 1993
"... There is a growing consensus that significant, rapid progress can be made in both text understanding and spoken language understanding by investigating those phenomena that occur most centrally in naturally occurring unconstrained materials and by attempting to automatically extract information abou ..."
Abstract - Cited by 2740 (10 self) - Add to MetaCart
-1992), this corpus has been annotated for part-of-speech (POS) information. In addition, over half of it has been annotated for skeletal syntactic structure. These materials are available to members of the Linguistic Data Consortium; for details, see Section 5.1.

Integration of semantically annotated data by the . . .

by Andriy Nikolov, Victoria Uren, Enrico Motta, Anne De Roeck , 2008
"... ..."
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Semiring-Annotated Data: Queries and Provenance

by Grigoris Karvounarakis, Todd J. Green , 2012
"... We present an overview of the literature on querying semiring-annotated data, a notion we introduced five years ago in a paper with Val Tannen. First, we show that positive relational algebra calculations for various forms of annotated relations, as well as provenance models for such queries, are pa ..."
Abstract - Cited by 15 (1 self) - Add to MetaCart
We present an overview of the literature on querying semiring-annotated data, a notion we introduced five years ago in a paper with Val Tannen. First, we show that positive relational algebra calculations for various forms of annotated relations, as well as provenance models for such queries

The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999

by Amos Bairoch, Rolf Apweiler - Nucleic Acids Res , 1999
"... SWISS-PROT is a curated protein sequence database which strives to provide a high level of annotation (such as the description of the function of a protein, its domain structure, post-translational modifications, variants, etc.), a minimal level of redundancy and high level of integration with other ..."
Abstract - Cited by 624 (5 self) - Add to MetaCart
SWISS-PROT is a curated protein sequence database which strives to provide a high level of annotation (such as the description of the function of a protein, its domain structure, post-translational modifications, variants, etc.), a minimal level of redundancy and high level of integration

Learning Accurate, Compact, and Interpretable Tree Annotation

by Slav Petrov, Leon Barrett, Romain Thibaux, Dan Klein - In ACL ’06 , 2006
"... We present an automatic approach to tree annotation in which basic nonterminal symbols are alternately split and merged to maximize the likelihood of a training treebank. Starting with a simple Xbar grammar, we learn a new grammar whose nonterminals are subsymbols of the original nonterminals. In co ..."
Abstract - Cited by 423 (42 self) - Add to MetaCart
. In contrast with previous work, we are able to split various terminals to different degrees, as appropriate to the actual complexity in the data. Our grammars automatically learn the kinds of linguistic distinctions exhibited in previous work on manual tree annotation. On the other hand, our grammars are much
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