Revised report on the algorithmic language ALGOL 60

Backus, J. W.; Bauer, Friedrich L.; Green, J.; Katz, Chaim; McCarthy, John; Naur, Peter; Perlis, Alan J.; Rutishauser, Heinz; Samelson, K.; Vauquois, Bernard; Wegstein, J. H.; Wijngaarden, A. van; Woodger, M.

doi:10.1093/comjnl/5.4.349

Cited by 87 publications

(19 citation statements)

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“…As in [30], the language must represent all the possible gesture combinations (static and dynamic) and at the same time be simple in its syntax. The language was defined with BNF (Bakus Normal Form or Bakus-Naur Form) [2]:…”

Section: The Referee Command Language Definitionmentioning

confidence: 99%

Hand Gesture Recognition System Based in Computer Vision and Machine Learning

Trigueiros

Ribeiro

Reis

2015

Lecture Notes in Computational Vision and Biomechanics

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Hand gesture recognition is a natural way of human computer interaction and an area of very active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research applied to Human-Computer Interaction (HCI) is to create systems, which can identify specific human gestures and use them to convey information or controlling devices. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. This paper presents a solution, generic enough, with the help of machine learning algorithms, allowing its application in a wide range of human-computer interfaces, for real-time gesture recognition. Experiments carried out showed that the system was able to achieve an accuracy of 99.4 % in terms of hand posture recognition and an average accuracy of 93.72 % in terms of dynamic gesture recognition. To validate the proposed framework, two applications were implemented. The first one is a real-time system able to help a robotic soccer referee judge a game in real time. The prototype combines a vision-based hand gesture P. Trigueiros ( ) Insituto Politécnico do Porto, IPP,

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Section: The Referee Command Language Definitionmentioning

confidence: 99%

Hand Gesture Recognition System Based in Computer Vision and Machine Learning

Trigueiros

Ribeiro

Reis

2015

Lecture Notes in Computational Vision and Biomechanics

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“…Usually programming language syntax is formalised with EBNF (Extended Backus-Naur Form) [7], which is a meta-syntax notation used to express context-free grammars (CFG). However, also to describe the static semantics of a language -such as the binding structure of variables and other identifiers -a more expressive formalism is needed.…”

Section: Attribute Grammarsmentioning

confidence: 99%

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Drienyovszky

Horpácsi

Thompson

2010

Proceedings of the 9th ACM SIGPLAN Workshop on Erlang

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“…Firstly, starting around 1955, his main preoccupation for more than a decade was the development of the Algol60 programming language (see Backus et al, 1960Backus et al, , 1963, the description of its usage for basic problems of numerical analysis (see Rutishauser, 1967) and the creation of open-source high-quality programming libraries (see Rutishauser, 1961;Wilkinson & Reinsch, 1971). At the same time, he published a large number of papers on various topics in numerical analysis.…”

Section: Lr Abandonedmentioning

confidence: 99%

From qd to LR, or, how were the qd and LR algorithms discovered?

Gutknecht

Parlett

2010

IMA Journal of Numerical Analysis

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Perhaps, the most astonishing idea in eigenvalue computation is Rutishauser's idea of applying the LR transform to a matrix for generating a sequence of similar matrices that become more and more triangular. The same idea is the foundation of the ubiquitous QR algorithm. It is well known that this idea originated in Rutishauser's qd algorithm, which precedes the LR algorithm and can be understood as applying LR to a tridiagonal matrix. But how did Rutishauser discover qd and when did he find the qd-LR connection? We checked some of the early sources and have come up with an explanation.

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Revised report on the algorithmic language ALGOL 60

Cited by 87 publications

References 0 publications

Hand Gesture Recognition System Based in Computer Vision and Machine Learning

Hand Gesture Recognition System Based in Computer Vision and Machine Learning

Quickchecking refactoring tools

From qd to LR, or, how were the qd and LR algorithms discovered?

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