Search results for "SVM"
showing 9 items of 39 documents
An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy
2013
Metallography is the science of studying the physical properties of metal microstructures, by means of microscopes. While traditional approaches involve the direct observation of the acquired images by human experts, Com-puter Vision techniques may help experts in the analysis of the inspected mate-rials. In this paper we present an automated system to classify the phases of a Titanium alloy, Ti-6Al-4V. Our system has been tested to analyze the final products of a Friction Stir Welding process, to study the states of the micro-structures of the welded material.
A classification approach to prostate cancer localization in 3T Multi-Parametric MRI
2016
International audience; Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies, its potential in prostate cancer detection and analysis. We propose a supervised classification approach based on mp-MRI data base of 20 patients, in order to localize prostate cancer and to achieve a cartographic representation of the prostate voxels based on classification results. Proposed method provides a computer aided detection (CAD) software for prostatic cancer. For that, we have extracted varied features providing functional, anatomical and metabolic information helping the classifier to distinguish between three different classes ("Healthy", "Benign" and "Pathologic"). W…
Learning Bag of Spatio-Temporal Features for Human Interaction Recognition
2019
Bag of Visual Words Model (BoVW) has achieved impressive performance on human activity recognition. However, it is extremely difficult to capture high-level semantic meanings behind video features with this method as the spatiotemporal distribution of visual words is ignored, preventing localization of the interactions within a video. In this paper, we propose a supervised learning framework that automatically recognizes high-level human interaction based on a bag of spatiotemporal visual features. At first, a representative baseline keyframe that captures the major body parts of the interacting persons is selected and the bounding boxes containing persons are extracted to parse the poses o…
Détection automatique de chutes de personnes basée sur des descripteurs spatio-temporels : définition de la méthode, évaluation des performances et i…
2013
We propose a supervised approach to detect falls in home environment adapted to location andpoint of view changes. First, we maid publicly available a realistic dataset, acquired in four differentlocations, containing a large number of manual annotation suitable for methods comparison. We alsodefined a new metric, adapted to real-time tasks, allowing to evaluate fall detection performance ina continuous video stream. Then, we build the initial spatio-temporal descriptor named STHF usingseveral combinations of transformations of geometrical features and an automatically optimised setof spatio-temporal descriptors thanks to an automatic feature selection step. We propose a realisticand pragma…
An SVM Ensamble Approach to Detect Irony and Stereotype Spreaders on Twitter
2022
The problem we address in this work is classifying whether a Twitter user has spread Irony and Stereotype or not. We used a text vectorization layer to generate Bag-Of-Words sequences. Then such sequences are passed to three different text classifiers (Decision Tree, Convolutional Neural Network, Naive Bayes). Our final classifier is an SVM. To test and validate our approach we used the dataset provided for the author profiling task organized by PAN@CLEF 2022. Our team (missino) submitted the predictions on the provided test set to participate at the shared task. Over several cross fold validation our approach was able to reach a maximum binary accuracy on the best validation split equal to…
Uzraudzītas mašīnmācīšanās klasifikatoru izpēte un empīriska salīdzināšana
2015
Maģistra darbā ir salīdzināti uzraudzītas mašīnmācīšanās klasifikatori SVM, C5.0 un C6.0. Darba pirmajā daļā veikta SVM, C5.0 un C6.0 klasifikatoru salīdzināšana pēc ieejas datu formāta un saprotamības, izejas datu formāta un saprotamība un algoritma darbības principa. Otrajā daļā veikta SVM, C5.0 un C6.0 klasifikatoru empīriska salīdzināšana. Rezultātā izveidots vērtīgs mašīnmācīšanās klasifikatora C6.0 salīdzinājums ar citiem uzraudzītas mašīnmācīšanās klasifikatoriem, novērtējot klasifikācijas kļūdas procentu. Klasifikatoru testēšanai galvenokārt tika izmantotas diskrētas datu kopas, taču pilnvērtīgākam salīdzinājumam, tika iekļautas arī datu kopas ar trūkstošām un skaitliskām vērtībām. …
Definition and performance evaluation of a robust SVM based fall dectection system
2012
International audience
Estudio electrofisiológico del útero humano durante el embarazo a partir de registros no invasivos del electrohisterograma
2017
Título: “Estudio electrofisiológico del útero humano durante el embarazo a partir de registros no invasivos del electrohisterograma” La actividad uterina se monitoriza durante el embarazo y el parto con el objetivo de obtener información sobre las contracciones uterinas, para ayudar a la estimación del inicio y el progreso del trabajo de parto y para evaluar el estado de salud del conjunto materno-fetal. Actualmente, las tocografía externa e interna, son las técnicas más extendidas para la monitorización de la actividad uterina. Éstas técnicas manométricas de uso clínico habitual se limitan a monitorizar las contracciones uterinas a partir de resultante mecánica de la actividad bioeléctrica…
High-Speed Video Microscopy for Primary Ciliary Dyskinesia Diagnosis: A Study of Ciliary Motility Variations with Time and Temperature
2021
Este artículo se encuentra disponible en la siguiente URL: https://www.mdpi.com/2075-4418/11/7/1301 Este artículo de investigación pertenece al número especial "Progress in Diagnosing and Managing Primary Ciliary Dyskinesia". Primary ciliary dyskinesia (PCD) is a rare disease resulting from a defect in ciliary function that generates, among other issues, chronic upper and lower respiratory tract infections. European guidelines recommend studying ciliary function (pattern (CBP) and frequency (CBF)), together with characteristic clinical symptoms, as one of the definitive tests. However, there is no “gold standard”. The present study aims to use high-speed video microscopy to describe how CBF…