Results 1 to 10 of about 2,430,628 (232)
Exploring Peirce’s speculative grammar: The immediate object of a sign
Sign Systems Studies, 2015 The paper argues against what I call the “Fregean interpretation” of Peirce’s distinction between the immediate and the dynamic object of a sign, according to which Peirce’s dynamic object is akin to Frege’s Bedeutung, while Peirce’s immediate object is ...
Francesco Bellucci
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Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008 We introduce a Probabilistic Grammar-Markov Model (PGMM) which couples probabilistic context free grammars and Markov Random Fields. These PGMMs are generative models defined over attributed features and are used to detect and classify objects in natural images.
Long Zhu, Yuanhao Chen, Alan Yuille
semanticscholar +8 more sources
Object classification based on a geometric grammar with a range camera [PDF]
2009 IEEE International Conference on Robotics and Automation, 2009 This paper proposes an object classification framework based on a geometric grammar aimed for mobile robotic applications. The paper first discusses the geometric grammar as a compact representation form for object categories with primitive parts as its constituent elements.
Jiwon Shin +4 more
semanticscholar +5 more sources
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing [PDF]
Neural Information Processing Systems, 2007 We describe an unsupervised method for learning a probabilistic grammar of an object from a set of training examples. Our approach is invariant to the scale and rotation of the objects. We illustrate our approach using thirteen objects from the Caltech 101 database.
Long Zhu, Yuanhao Chen, Alan Yuille
semanticscholar +5 more sources
A grammar for hierarchical object descriptions in logic programs [PDF]
2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 Modeling objects using formal grammars has recently regained much attention in computer vision. Probabilistic logic programming, such as Bilattice based Logical Reasoning (BLR), is shown to produce impressive results in object detection/recognition. Although hierarchical object descriptions are preferred in high-level vision tasks for several reasons ...
Maneesh Singh +3 more
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Stochastic Object-Based Graph Grammars
Electronic Notes in Theoretical Computer Science, 2007 AbstractObject-Based Graph Grammar (OBGG) is a formal visual language suited to the specification of asynchronous distributed systems based on message passing. Model-checking of OBGG models is currently supported and a series of case studies have been developed.
Odorico Machado Mendizabal +2 more
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A new weighted fuzzy grammar on object oriented database queries [PDF]
Management Science Letters, 2012 The fuzzy object oriented database model is often used to handle the existing imprecise and complicated objects for many real-world applications. The main focus of this paper is on fuzzy queries and tries to analyze a complicated and complex query to get
Ali Haroonabadi +2 more
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Syntagma as an object of communicative grammar
Bulletin of the Karaganda University. Philology series, 2020 The article reviews syntagmatic research and defines syntagma as psycholinguistic, semantic-syntactic, semantic-intonational, functional unit. It is indicated that lexical mixing and syntactic dismemberment are the result of syntagmatic studies. At the same time, this article gives a definition of the role that syntagma plays in communicative grammar ...
N. Ilyassova
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Verifying Object-Based Graph Grammars
Electronic Notes in Theoretical Computer Science, 2004 AbstractObject-Based Graph Grammars (OBGG) is a formal language suitable for the specification of distributed systems. On previous work, a translation from OBGG models to PROMELA (the input language of the SPIN model checker) was defined, enabling the verification of OBGG models using SPIN.
Osmar Marchi dos Santos +2 more
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plyranges: a grammar of genomic data transformation
Genome Biology, 2019 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 +2 more
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