Results 21 to 30 of about 2,431,309 (120)
A Pure Object-Oriented Embedding of Attribute Grammars [PDF]
Electronic Notes in Theoretical Computer Science, 2010 AbstractAttribute grammars are a powerful specification paradigm for many language processing tasks, particularly semantic analysis of programming languages. Recent attribute grammar systems use dynamic scheduling algorithms to evaluate attributes by need. In this paper, we show how to remove the need for a generator, by embedding a dynamic approach in
Sloane, A.M. (author) +2 more
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Predicting Human Activities Using Stochastic Grammar [PDF]
IEEE International Conference on Computer Vision, 2017 This paper presents a novel method to predict future human activities from partially observed RGB-D videos. Human activity prediction is generally difficult due to its non-Markovian property and the rich context between human and environments.
Siyuan Qi +3 more
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Object detection grammars [PDF]
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011 In this talk I will discuss various aspects of object detection using compositional models, focusing on the framework of object detection grammars, discriminative training and efficient computation.
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Humans Predict Action using Grammar-like Structures [PDF]
Scientific Reports, 2019 Efficient action prediction is of central importance for the fluent workflow between humans and equally so for human-robot interaction. To achieve prediction, actions can be algorithmically encoded by a series of events, where every event corresponds to ...
F. Wörgötter +5 more
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plyranges: a grammar of genomic data transformation
Genome Biology, 2018 Bioconductor is a widely used R-based platform for genomics, but its host of complex genomic data structures places a cognitive burden on the user. For most tasks, the GRanges object would suffice, but there are gaps in the API that prevent its general ...
Stuart Lee, D. Cook, Michael Lawrence
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Grammar rules for the isiZulu complex verb [PDF]
arXiv.org, 2016 The isiZulu verb is known for its morphological complexity, which is a subject of on-going linguistics research, as well as for prospects of computational use, such as controlled natural language interfaces, machine translation and spellcheckers. To this
C. Keet, Langa Khumalo
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Intervention effects in grammar and language acquisition
Probus: International Journal of Latin and Romance Linguistics, 2018 Intervention effects have been thoroughly studied in formal syntax in the domain of weak islands. They also have recently been appealed to in the study of language acquisition, to capture certain difficulties that young children manifest in the mastery ...
L. Rizzi
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Towards Object-Oriented Graphs and Grammars [PDF]
, 2003 This work aims to extend the algebraical approach to graph transformation to model object-oriented systems structures and computations. A graph grammar based formal framework for object-oriented system modeling is presented, incorporating both the static aspects of system modeling and the dynamic aspects of computation of object-oriented programs.
Leila Ribeiro +1 more
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Graph Grammar Based Object Detecting and Tracking [PDF]
International Journal of Intelligent Engineering and Systems, 2013 In this paper we introduce a graph grammar based method to fuse the low level features and apply them to object detecting and tracking. In our algorithm, the graph grammar rules are used to detect the object in the beginning of the video sequence and then dynamically adjust the tracking procedure.
Yuqing Song, Dongpeng Yue, Shaoqing Mo
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