Results 21 to 30 of about 456,944 (254)
The design and implementation of Object Grammars [PDF]
Science of Computer Programming, 2014 An Object Grammar is a variation on traditional BNF grammars, where the notation is extended to support declarative bidirectional mappings between text and object graphs. The two directions for interpreting Object Grammars are parsing and formatting.
Tijs van der Storm +2 more
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Object grammars and random generation [PDF]
Discrete Mathematics & Theoretical Computer Science, 1998 This paper presents a new systematic approach for the uniform random generation of combinatorial objects. The method is based on the notion of object grammars which give recursive descriptions of objects and generalize context-freegrammars. The application of particular valuations to these grammars leads to enumeration and random generation of objects ...
Isabelle Dutour, Jean-Marc Fédou
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Process grammar and process history for 2D objects
DAIMI Report Series, 2008 This project is the written report for the course in Picture Processing at the Department of Computer Science, Aarhus University. The starting point is a paper by Michael Leyton in Artificial Intelligence 34, 1988: "A process grammar for shape". The paper describes how it is possible to derive the process history for an object from its state at two ...
Thomas W. Larsen, Brian H. Mayoh
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Grammar in Language and Listening Acquisition
Ana Dili Eğitimi Dergisi, 2023 The existence and self-realization of humans are possible due to language, language faculty, and listening acquisition. Anything animate or inanimate perceived in the external world such as an object, phenomenon, entity, etc.
Ahmet Akkaya, İbrahim Doyumğaç
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Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing [PDF]
, 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
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An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English [PDF]
, 2021 In recent years machine learning techniques have been able to perform tasks previously thought impossible or impractical such as image classification and natural language translation, as such this allows for the automation of tasks previously thought ...
Al-Bayatti, A. +7 more
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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
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Studies in African Linguistics, 1987 Contrary to the view that in Bantu languages the two unmarked nominals following the verb in ditransitive constructions need not be distinguished because both possess the same object properties, this paper shows the necessity of making a distinction ...
Videa P. De Guzman
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THE ACQUISITION OF RUSSIAN GRAMMAR CASES BY BRAZILIAN STUDENTS [PDF]
, 2021 The analysis of Russian discourse in the proficiency levels B1 and B2 points out to Brazilian students' assimilation problems regarding the grammar cases.
Budnik, Ekaterina +1 more
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Hierarchical organization of objects in scenes is reflected in mental representations of objects
Scientific Reports, 2022 The arrangement of objects in scenes follows certain rules (“Scene Grammar”), which we exploit to perceive and interact efficiently with our environment. We have proposed that Scene Grammar is hierarchically organized: scenes are divided into clusters of
Jacopo Turini, Melissa Le-Hoa Võ
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