Πλοήγηση ανά Θέμα "Classification (of information)"
Αποτελέσματα 21-40 από 61
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Explainable Fuzzy Texture Words Model for Automatic Bone Fracture Identification
(2021)The examination and interpretation of X-ray images is a time-consuming process that requires manual examination of bones for a fracture diagnosis. In this study, we propose a novel feature extraction and classification ... -
Film Shot Type Classification Based on Camera Movement Styles
(2022)Visual information contains the most important characteri-stics of a movie regarding the related content and filming techniques. Especially the way the camera moves to capture the scene is vital to define the director’s ... -
Fingerspelled alphabet sign recognition in upper-body videos
(2019)Fingerspelling is a crucial part of sign-based communication, however its recognition remains a challenging and mostly overlooked computer vision problem. To address it, this paper presents a system that recognizes the 24 ... -
Fuzzy Cognitive Maps for Interpretable Image-based Classification
(2022)Image classification is a fundamental component of intelligent vision systems. Developing classifiers capable of explaining how or why a classification result occurs, in a way compatible with human perception, remains a ... -
Fuzzy Pooling
(2021)Convolutional neural networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality ... -
GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Disk-Resident Data
(2021)Algorithms for answering the k Nearest-Neighbor (k-NN) query are widely used for queries in spatial databases and for distance classification of a group of query points against a reference dataset to derive the dominating ... -
Hybrid Time-series Representation for the Classification of Driving Behaviour
(2020)The classification of driving behaviour is important for monitoring driving risk and fuel efficiency, as well as for providing a personalized view, or 'fingertip', of each driver, useful in driving assistance and car ... -
Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients
(2021)Objective: Feature selection (FS) is a crucial and at the same time challenging processing step that aims to reduce the dimensionality of complex classification or regression problems. Various techniques have been proposed ... -
Image Processing and Classification Method Appropriate for Extensible Mobile Applications
(2019)The image processing technique described in this paper can be used for the classification of photographs that display an object of interest. Spots on the object having distinct color surrounded by a potential halo are ... -
Improving Multiclass Classification of Cybersecurity Breaches in Railway Infrastructure using Imbalanced Learning
(2021)Machine learning approaches and algorithms are spreading in wide areas in research and technology. Cybersecurity breaches are the common anomalies for networked and distributed infrastructures which are monitored, registered, ... -
Intelligent identification of biomarkers for the study of obstructive nephropathy
(2013)Obstructive Nephropathy (ON) is a renal disease, which pathological profile is the result of various, tightly coupled and co-regulated, molecular processes, pervading various layers of molecular dissection. In this context, ... -
Intelligent planning of biomedical image mining workflows
(2010)The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, like data acquisition, preprocessing, segmentation, feature extraction and classification. The proper ... -
Intelligent selection of human miRNAs and mouse mRNAs related to obstructive nephropathy
(2011)Obstructive Nephropathy (ON) is a renal disease and its pathology is believed to be magnified by various molecular processes. In the current study, we apply an intelligent workflow implemented in Rapidminer data mining ... -
Investigating the efficiency of machine learning algorithms on mapreduce clusters with SSDs
(2018)In the big data era, the efficient processing of large volumes of data has became a standard requirement for both organizations and enterprises. Since single workstations cannot sustain such tremendous workloads, MapReduce ... -
Joint Object Affordance Reasoning and Segmentation in RGB-D Videos
(2021)Understanding human-object interaction is a fundamental challenge in computer vision and robotics. Crucial to it is the ability to infer 'object affordances' from visual data, namely the types of interaction supported by ... -
A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks
(2021)Every learning algorithm, has a specific bias. This may be due to the choice of its hyperparameters, to the characteristics of its classification methodology, or even to the representation approach of the considered ... -
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients
(2020)Osteoarthritis is the common form of arthritis in the knee (KOA). It is identified as one of the main causes of pain leading even to disability. To exploit the continuous increase in medical data concerning KOA, various ... -
Multimodal fusion and sequence learning for cued speech recognition from videos
(2021)Cued Speech (CS) constitutes a non-vocal mode of communication that relies on lip movements in conjunction with hand positional and gestural cues, in order to disambiguate phonetic information and make it accessible to the ... -
Multimodal Video Summarization based on Fuzzy Similarity Features
(2022)The continuously growing number of user-generated videos has increased the need for efficient browsing through content collections and repositories, which in turn requires descriptive, yet compact representations. To this ... -
A non-linguistic approach for human emotion recognition from speech
(2019)One of the most important issues in several aspects of human-computer interaction is the understanding of the users' emotional state. In several applications such as monitoring of humans in assistive living environments, ...