Browsing by Subject "Artificial intelligence"
Now showing items 1-20 of 35
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Advanced block detection and quantification of fibrotic areas in microscopy images of obstructive nephropathy
(2012)Obstructive nephropathy is not a rare disease and experts need a tool, which will provide them fast and accurate reproducible results for disease assessment. In this work we deal with the analysis of biopsy images for the ... -
Advanced cancer cell characterization and quantification of microscopy images
(2012)In this paper we present an advanced image analysis tool for the accurate characterization and quantification of cancer and apoptotic cells in microscopy images. Adaptive thresholding and Support Vector Machines classifiers ... -
Ant colony optimization and data mining: Techniques and trends
(2010)The Ant Colony Optimization (ACO) technique was inspired by the ants' behaviour throughout their exploration for food. The use of this technique has been very successful for several problems. Besides, Data Mining (DM) has ... -
Bagged nonlinear Hebbian learning algorithm for fuzzy cognitive maps working on classification tasks
(2012)Learning of fuzzy cognitive maps (FCMs) is one of the most useful characteristics which have a high impact on modeling and inference capabilities of them. The learning approaches for FCMs are concentrated on learning the ... -
Biological-inspired algorithms for dynamic search in web graphs
(2011)We propose a biological-inspired algorithmic procedure for improving the precision level in respect to a web user's query. This algorithm is capable of tracing relevant information in web graphs, imitating the mission of ... -
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images
(2014)A number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from imaged objects. One widely used class of such descriptors are the invariant moments, with Zernike moments ... -
Capture, modeling, and recognition of expert technical gestures in wheel-throwing art of pottery
(2014)This research has been conducted in the context of the ArtiMuse project that aims at the modeling and renewal of rare gestural knowledge and skills involved in the traditional craftsmanship and more precisely in the art ... -
Clustering of high dimensional data streams
(2012)Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ... -
CW-PRED: A HMM-based method for the classification of cell wall-anchored proteins of Gram-positive bacteria
(2012)Gram-positive bacteria have surface proteins that are often implicated in virulence. A group of extracellular proteins attached to the cell wall contains an LPXTG-like motif that is target for cleavage and covalent coupling ... -
Evolutionary principal direction divisive partitioning
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ... -
A fast mobile face recognition system for android OS based on Eigenfaces decomposition
(2010)This paper presents a speed-optimized face recognition system designed for mobile devices. Such applications may be used in the context of pervasive and assistive computing for the support of elderly suffering from dementia ... -
Fish-eye camera video processing and trajectory estimation using 3d human models
(2014)Video processing and analysis applications are part of Artificial Intelligence. Frequently, silhouettes in video frames lack depth information, especially in case of a single camera. In this work, we utilize a three-dimensional ... -
A free terrain model for trajectory k-anonymity
(2008)This paper introduces a privacy model for location based services that utilizes collected movement data to identify parts of the user trajectories, where user privacy is at an elevated risk. To protect the privacy of the ... -
Human distress sound analysis and characterization using advanced classification techniques
(2008)The analysis of sounds generated in close proximity of a subject can often indicate emergency events like falls, pain and other distress situations. This paper presents a system for collecting and analyzing sounds and ... -
A hybrid approach to frequent itemset hiding
(2007)In this paper, we propose a novel, exact border-based approach that provides an optimal solution for the hiding of sensitive frequent itemsets by (i) minimally extending the original database by a synthetically generated ... -
A hybrid classification algorithm evaluated on medical data
(2010)Ant colony optimization algorithms have been applied successfully to data mining classification problems. Recently, an improved version of cAnt-Miner (Ant-Miner coping with continuous attributes), called cAnt-Miner2, has ... -
Independent component clustering for skin lesions characterization
(2011)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 ... -
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 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 ... -
An intelligent tool for anatomical object segmentation using deformable surfaces
(2012)Image segmentation is a very active area of research in machine vision. In this work, an innovative methodology is presented that allows the segmentation of objects in three-dimensional images with initial user intervention. ...