Listar por tema "Feature extraction"
Mostrando ítems 21-33 de 33
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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 ... -
Novel metrics and experimentation insights for dynamic frequency selection in wireless LANs
(2011)The rapidly increasing popularity of IEEE 802.11 WLANs has created unprecedented levels of congestion in the unlicensed frequency bands, especially in densely populated urban areas. Performance experienced by end-users in ... -
An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images
(2010)This paper presents an open image-mining framework that provides access to tools and methods for the characterization of medical images. Several image processing and feature extraction operators have been implemented and ... -
An open web services - Based framework for data mining of biomedical image data
(2009)Mining of biomedical image data is a complex procedure that requires several processing phases, such as data acquisition, preprocessing (e.g., image enhancement, color processing), feature extraction and classification. ... -
Pose recognition using convolutional neural networks on omni-directional images
(2018)Convolutional neural networks (CNNs) are used frequently in several computer vision applications. In this work, we present a methodology for pose classification of binary human silhouettes using CNNs, enhanced with image ... -
Robust multi-modal speech recognition in two languages utilizing video and distance information from the kinect
(2013)We investigate the performance of our audio-visual speech recognition system in both English and Greek under the influence of audio noise. We present the architecture of our recently built system that utilizes information ... -
Scattering vs. Discrete Cosine Transform Features in Visual Speech Processing
(2015)Appearance-based feature extraction constitutes the dominant approach for visual speech representation in a variety of problems, such as automatic speechreading, visual speech detection, and others. To obtain the necessary ... -
Skin lesion diagnosis from images using novel ensemble classification techniques
(2010)Reduction of the error rate of melanoma diagnosis, a critical and very dangerous skin cancer that could be treated when early detected, is of major importance. Towards this direction, the present paper presents a novel ... -
Skin lesions characterisation utilising clustering algorithms
(2010)In this paper we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ... -
Staircase detection using a lightweight look-behind fully convolutional neural network
(2019)Staircase detection in natural images has several applications in the context of robotics and visually impaired navigation. Previous works are mainly based on handcrafted feature extraction and supervised learning using ... -
Using deep learning neural networks for ECG based authentication
(2017)Traditional password based authentication has been proven inadequate and the use of biometrics have provided multiple solutions through the past years. One of the most recent approaches to biometric authentication is using ... -
Weakly-supervised lesion detection in video capsule endoscopy based on a bag-of-colour features model
(2017)Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology enabling more thorough examination and treatment of the gastrointestinal tract than conventional endoscopy technologies. Despite of the ...