Browsing by Subject "Classification (of information)"
Now showing items 1-20 of 27
-
Article
Analysis of neuromuscular disorders using statistical and entropy metrics on surface EMG
(2008)This paper introduces the surface electromyogram (EMG) classification system based on statistical and entropy metrics. The system is intended for diagnostic use and enables classification of examined subject as normal, ...
-
Conference Object
Annotating web service sections with combined classification
(Institute of Electrical and Electronics Engineers Inc., 2014)Web services are considered reusable elements that can be exploited stand-alone or as part of wider, generic or domain-specific, applications. With a vast variety of Web Services being offered by service providers, annotation ...
-
Conference Object
Automated tagging for the retrieval of software resources in grid and cloud infrastructures
(2012)A key challenge for Grid and Cloud infrastructures is to make their services easily accessible and attractive to end-users. In this paper we introduce tagging capabilities to the Miner soft system, a powerful tool for ...
-
Conference Object
Bounds on the probability of misclassification among hidden Markov models
(2011)Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...
-
Conference Object
Classification and data mining for hysteroscopy imaging in gynaecology
(2008)The objective of this study was to develop a CAD system for the classification of hysteroscopy images of the endometrium (with suspicious areas of cancer), based on two data mining procedures, the C4.5 and the Hybrid ...
-
Conference Object
Combination of different texture features for mammographic breast density classification
(2012)Mammographic breast density refers to the prevalence of fibroglandular tissue as it appears on a mammogram. Breast density is not only an important risk for developing breast cancer but can also mask abnormalities. Breast ...
-
Article
Comparing Different Classifiers for Automatic Age Estimation
(2004)We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used ...
-
Conference Object
Comparison of AM-FM features with standard features for the classification of surface electromyographic signals
(2010)In this work AM-FM features extracted from surface electromyographic (SEMG) signals were compared with standard time and frequency domain features, for the classification of neuromuscular disorders at different force levels. ...
-
Article
Computer-aided diagnosis in hysteroscopic imaging
(2015)The paper presents the development of a computeraided diagnostic (CAD) system for the early detection of endometrial cancer. The proposed CAD system supports reproducibility through texture feature standardization, ...
-
Article
-
Article
Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities
(2015)The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good ...
-
Conference Object
Evaluation of spatial dependence matrices on multiscale instantaneous amplitude for mammogram classification
(Springer Verlag, 2015)Breast cancer is the most common cancer in women. Mammography is the only breast cancer screening method that has proven to be effective. Mammographic breast density is increasingly assessed towards the development of more ...
-
Article
Feature mapping through maximization of the atomic interclass distances
(2015)We discuss a way of implementing feature mapping for classification problems by expressing the given data through a set of functions comprising of a mixture of convex functions. In this way, a certain pattern’s potential ...
-
Conference Object
Hidden markov model classification based on empirical frequencies of observed symbols
(IFAC Secretariat, 2014)Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...
-
Article
Identifying context information in datasets
(2015)Datasets are used in various applications assisting in performing reasoning and grouping actions on available data (e.g., clustering, classification, recommendations). Such sources of information may contain aspects relevant ...
-
Conference Object
Intelligent classification and retrieval of software components
(2006)This work proposes a new methodology for intelligent classification and retrieval of software components based on user-defined requirements. The classification scheme utilizes a dedicated genetic algorithm which evolves a ...
-
Article
Multi-scale AM-FM analysis for the classification of surface electromyographic signals
(2012)In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
-
Article
Multifeature Texture Analysis for the Classification of Clouds in Satellite Imagery
(2003)The aim of this work was to develop a system based on multifeature texture analysis and modular neural networks that will facilitate the automated interpretation of satellite cloud images. Such a system will provide a ...
-
Conference Object
Neural networks to investigate the effects of smoking and alcohol abuse on the risk for preeclampsia
(2009)Following the application of a large number of neural network schemes that have been applied to a large data base of pregnant women, aiming at generating a predictor for the risk of preeclampsia occurrence at an early ...
-
Conference Object
New technique for the classification and decomposition of EMG signals
(IEEE, 1995)The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...