Results 31 to 40 of about 25,495 (173)
Exception Handling for Error Reporting in Parsing Expression Grammars [PDF]
, 2013 Parsing Expression Grammars (PEGs) are a new formalism to describe a top-down parser of a language. However, error handling techniques that are often applied to top-down parsers are not directly applicable to PEGs. This problem is usually solved in PEGs using a heuristic that helps to simulate the error reporting technique from top-down parsers, but ...
Fabio Mascarenhas +2 more
openaire +2 more sources
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019 Accepted for publication in the proceedings of the 34th ACM/SIGAPP Symposium On Applied Computing (SAC'19)
Daisuke Yamaguchi, Kimio Kuramitsu
openaire +3 more sources
Child Development, EarlyView.ABSTRACT Observed parental sensitivity during a parent–child teaching task and free‐play task was tested as mediators of the association between family socioeconomic risk and child receptive language at 48 months, consistent with family investment theory.
Lindsay Taraban +3 more
wiley +1 more source
2020 25th International Conference on Pattern Recognition (ICPR), 2021 [EN] We consider hypergraphs as a tool obtained with bidimensional Probabilistic Context-Free Grammars to compactly represent the result of the n-best parse trees for an input image that represents a mathematical expression. More specifically, in this paper we propose: i) an algorithm to compute the N-best parse trees from a 2D-PCFGs, ii) an algorithm ...
Noya, Ernesto +2 more
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Approximating Procedural Models of 3D Shapes with Neural Networks
Computer Graphics Forum, EarlyView.Abstract Procedural modeling is a popular technique for 3D content creation and offers a number of advantages over alternative techniques for modeling 3D shapes. However, given a procedural model, predicting the procedural parameters of existing data provided in different modalities can be challenging.
Ishtiaque Hossain +2 more
wiley +1 more source
Accessible Text Descriptions for UpSet Plots
Computer Graphics Forum, EarlyView.Abstract Data visualizations are typically not accessible to blind and low‐vision (BLV) users. Automatically generating text descriptions offers an enticing mechanism for democratizing access to the information held in complex scientific charts, yet appropriate procedures for generating those texts remain elusive. Pursuing this issue, we study a single
A. McNutt +8 more
wiley +1 more source
MatplotAlt: A Python Library for Adding Alt Text to Matplotlib Figures in Computational Notebooks
Computer Graphics Forum, EarlyView.Abstract We present MatplotAlt, an open‐source Python package for easily adding alternative text to Matplotlib figures. MatplotAlt equips Jupyter notebook authors to automatically generate and surface chart descriptions with a single line of code or command, and supports a range of options that allow users to customize the generation and display of ...
Kai Nylund +2 more
wiley +1 more source
Application-oriented spatial graph grammars [PDF]
, 2003 The Reserved Graph Grammar (RGG) is a general graph grammar formalism that expresses a wide range of visual languages. This paper presents an extension to RGG with the capability of spatial specification.
Huang, M, Kong, J, Zhang, K
core
Parsing Expression Grammar and Packrat Parsing – A Review
Journal of University of Shanghai for Science and Technology, 2020 Bryan Ford presented Parsing Expression Grammars (PEGs) as an alternative to specify rules for programming language, along with a Packrat parser, based on an idea of memoization. The idea proposed by B. Ford guarantees parsing of grammar written using PEGs in linear time in spite of backtracking. The primary aim of the paper is to highlight the details
Nikhil Mangrulkar S +3 more
openaire +1 more source
Interactive Discovery and Exploration of Visual Bias in Generative Text‐to‐Image Models
Computer Graphics Forum, EarlyView.Abstract Bias in generative Text‐to‐Image (T2I) models is a known issue, yet systematically analyzing such models' outputs to uncover it remains challenging. We introduce the Visual Bias Explorer (ViBEx) to interactively explore the output space of T2I models to support the discovery of visual bias.
Johannes Eschner +3 more
wiley +1 more source