Results 241 to 250 of about 3,685,912 (292)

Automatic detection of laughter

Interspeech 2005, 2005
In the context of detecting ‘paralinguistic events’ with the aim to make classification of the speaker’s emotional state possible, a detector was developed for one of the most obvious ‘paralinguistic events’, namely laughter. Gaussian Mixture Models were trained with Perceptual Linear Prediction features, pitch&energy, pitch&voicing and modulation ...
Truong, K.P., Leeuwen, D.A. van
openaire   +3 more sources

Automatic Arrhythmia Detection

2010
In the present chapter, the authors have developed a tool for the automatic arrhythmias detection, based on time-frequency features and using a Support Vector Machines (SVM) as classifier. Arrhythmia Database Massachusetts Institute of Technology (MIT) has been used in the work in order to detect eight different states, seven are pathologies and one is
Travieso, Carlos M.   +3 more
openaire   +2 more sources

Automatic Symmetry Detection for Promela

Journal of Automated Reasoning, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alastair F. Donaldson, Alice Miller 0001
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Automatic detection of handwriting forgery

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003
We investigated the detection of handwriting forgery by both human and machine. We obtained experimental handwriting data from subjects writing samples in their natural style and writing forgeries of other subjects' handwriting. These handwriting samples were digitally scanned and stored in an image database.
Sung-Hyuk Cha, Charles C. Tappert
openaire   +1 more source

Automatic baggage detection and classification

2011 11th International Conference on Intelligent Systems Design and Applications, 2011
In this paper we propose an enhanced approach to automatic baggage detection in CCTV video footage that addresses some of the shortcomings of state-of-the-art algorithms and a novel approach to the subsequent recognition of their type. The proposed approach consists of standard steps used in baggage detection, namely, the estimation of moving direction
Giounona Tzanidou, Eran A. Edirisinghe
openaire   +1 more source

Automatic Detection of Sentence Fragments

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2015
We present and evaluate a method for automatically detecting sentence fragments in English texts written by non-native speakers. Our method combines syntactic parse tree patterns and parts-of-speech information produced by a tagger to detect this phenomenon. When evaluated on a corpus of authentic learner texts, our best model achieved a precision of 0.
Chak Yan Yeung, John Lee 0001
openaire   +2 more sources

Automatic detection of welding defects

International Journal of Reasoning-based Intelligent Systems, 2011
A new approach for the automatic detection of welding defects in digital images (X-ray or photos) is presented in this paper. Various algorithms used in the consecutive stages of the image processing – permitting the successful detection of different kinds of defects and ensuring high accuracy – are described. The method is suitable for the analysis of
Roumen Kountchev   +3 more
openaire   +2 more sources

Automatic Difficulty Detection

2014
Previous work has suggested that the productivity of developers increases when they help each other and as distance increases, help is offered less. One way to make the amount of help independent of distance is to develop a system that automatically determines and communicates developers' difficulty. It is our thesis that automatic difficulty detection
openaire   +1 more source

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