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A curvature-based multiresolution automatic karyotyping system

Cristina Urdiales García, Antonio Bandera Rubio, Fabián Arrebola Pérez, Francisco Sandoval Hernández
2003 Machine Vision and Applications  
This paper presents a method to segment, characterise and pair a set of chromosomes in a cell of an eukaryotic organism.  ...  in a fast way; (iii) the curvature of each chromosome is studied at high resolution by means of attentive steps; (iv) a very short and uncorrelated feature vector is extracted from curvature by analysing  ...  Javier Vizcaino and M.D. Carlos Martin for their help and support. Also, we would like to thank Dr. Jim Piper, Dr. Andrew D. Carothers and Dr. Gunter Ritter for providing the data set Cpr, and Dr.  ... 
doi:10.1007/s00138-002-0076-z fatcat:xlzrugmmhnaedag4hfqr7xqopa

A feature selection algorithm for class discrimination improvement

Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Gilda Schirinzi
2007 2007 IEEE International Geoscience and Remote Sensing Symposium  
The search has been performed by using a genetic algorithm in which each individual encode the choice of a subspace, and its fitness is a measure of the class seperability in that subspace.  ...  We propose a new feature selection algorithm for remote sensing image classification.  ...  To solve this problem, several feature based classification techniques have been proposed in the literature.  ... 
doi:10.1109/igarss.2007.4422821 dblp:conf/igarss/StefanoFMS07 fatcat:avtmc4c2xzg3hnk2lb5kg6bqwq

AN IMPROVED DECISION FUSION TECHNIQUE TO INCREASE THE PERFORMANCE LEVEL OF HRR ATR SYSTEMS

Iulian Constantin Vizitiu
2013 Electromagnetic Waves  
an appropriate set of EM sensors and high-quality decision fusion techniques, respectively.  ...  According to literature, a significant and up to date research direction to increase the performance level of automatic target recognition (ATR) systems is focused on the use of information coming from  ...  corresponding to the signal subspace, for the case when the data are processed column by column and row by row respectively; (5) ESPRIT-2D reconstruction of the target image (i.e., estimation of the target  ... 
doi:10.2528/pier13031103 fatcat:c4s2nu2iibentmuskbyyijfxmq

An Efficient Wavelet Based Feature Reduction and Classification Technique for the Diagnosis of Dementia

T.R Sivapriya
2011 International Journal of Computer Science Engineering and Information Technology  
From this analysis, it is observed that the proposed classification of SVM based PSO is found to be efficient than SVM trained with GA and wavelet based feature reduction technique yields better results  ...  In this research work, advanced classification techniques using Support Vector Machines based on Particle Swarm Optimisation and Genetic algorithm are compared.  ...  After the generation of the initial population, a new population is formed that consists of the fittest chromosomes as well as offspring of these chromosomes based on the notion of survival of the fittest  ... 
doi:10.5121/ijcseit.2011.1506 fatcat:nf3bzvmvnrhuncxt2vpemcprdy

Semantics of Voids within Data: Ignorance-Aware Machine Learning

Vagan Terziyan, Anton Nikulin
2021 ISPRS International Journal of Geo-Information  
In this paper, we provide some algorithms for the discovery and visualization of the ignorance zones in two-dimensional data spaces and design two ignorance-aware smart prototype selection techniques (  ...  What if the task would be as follows: how to build a model based on the semantics of our ignorance, i.e., by processing the shape of "voids" within the available data space?  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi10040246 fatcat:jgvcd3kxxnfjzha7nx2zextcvy

LINEAR TIME RELATIONAL PROTOTYPE BASED LEARNING

ANDREJ GISBRECHT, BASSAM MOKBEL, FRANK-MICHAEL SCHLEIF, XIBIN ZHU, BARBARA HAMMER
2012 International Journal of Neural Systems  
The contribution of this article is twofold: on the one hand we propose a novel supervised prototype based classification technique for dissimilarity data based on popular learning vector quantization,  ...  Prototype based learning offers an intuitive interface to inspect large quantities of electronic data in supervised or unsupervised settings.  ...  Thomas Elssner and Dr. Karl-Otto Kruter (all Bruker Daltonik GmbH), for providing the Vibrio data set and additional support during pre-processing and interpretation.  ... 
doi:10.1142/s0129065712500219 pmid:22931439 fatcat:xehl6guukzds3jrs7ty5zhsbty

Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework

Zexuan Zhu, Sen Jia, Shan He, Yiwen Sun, Zhen Ji, Linlin Shen
2015 Information Sciences  
A chromosome (as shown in Figure 3 ) is designed as a string of n 4-tuple The feature space of image-level classification could be much larger than that of pixel-level classification.  ...  This work is an extension of our conference paper [54] , where the prototype of the framework merely targeted at pixel-level classification was first proposed.  ... 
doi:10.1016/j.ins.2014.11.045 fatcat:clivk6nhevblnbcsei4ybsu4ri

Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning [article]

Vagan Terziyan, Anton Nikulin
2019 arXiv   pre-print
In this paper, we provide some algorithms for the discovery and visualizing of the ignorance zones in two-dimensional data spaces and design two ignorance-aware smart prototype selection techniques (incremental  ...  Can we improve traditional classification by modeling also the ignorance?  ...  In our experiments with the Forest Type Mapping Dataset, we compare the performance of classification based on data reduced by our IPS and APS prototype selection algorithm and known ENN and CNN algorithms  ... 
arXiv:1905.06054v1 fatcat:rvrzrpnm2nalldsk5ushofspwu

The Performance of LTS-based Regression Methods in Face Recognition with Occluded Images

Nur Azimah Abdul Rahim, Norazan Mohamed Ramli, Nor Azura Md Ghani
2016 Indian Journal of Science and Technology  
The performance of random LTS, Fast LTS and GA-LTS (which is based on genetic algorithm) to a benchmark dataset with occluded query images was examined.  ...  In this paper, we compared the performance of several Least Trimmed Squares (LTS) based methods for face image recognition. The focus was on the problem of severely occluded face images.  ...  Acknowledgement We would like to express our appreciation to the Ministry of Higher Education (MOHE) and University Teknologi MARA for financial support under the Grant Scheme (FRGS/1/2014/ST06/UiTM/02  ... 
doi:10.17485/ijst/2016/v9i28/97777 fatcat:np3jsbrtffcrxp4n54amr7vgle

Automated learning multi-criteria classifiers for FLIR ship imagery classification

Khaled Jabeur, Adel Guitouni
2007 2007 10th International Conference on Information Fusion  
The Multi-Criteria Classifiers (or Multi-Criteria Classification Methods) considered are based on concordance and discordance concepts.  ...  A military database of 2545 Forward Looking Infra-Red (FLIR) images representing eight different classes of ships is therefore used to test the performance of these classifiers.  ...  This paper proposes a particular ALM -based on a Real-Coded Genetic Algorithm (RCGA)-to estimate the parameters of NCD-based MCC. We apply the proposed ALM in the context of image classification.  ... 
doi:10.1109/icif.2007.4408172 dblp:conf/fusion/JabeurG07a fatcat:2xwbhieqpbamtcpp7o4yaqtg2i

Eye Detection and Face Recognition Using Evolutionary Computation [chapter]

Jeffrey Huang, Chengjun Liu, Harry Wechsler
1998 Face Recognition  
the reachable space of solutions to include non-orthogonal bases.  ...  Experimental results, using 30 face images from the FERET data base show the feasibility of our hybrid approach. We then introduce the Optimal Projection Axes (OPA) method for face recognition.  ...  ., n) be the prototypes of class k, and the classification rule is expressed as U i − U k 0 = min j U i − U j 0 , U i ∈ω k (15) Search of Optimal Projection Axes (OPA) Using Genetic Algorithm The problem  ... 
doi:10.1007/978-3-642-72201-1_18 fatcat:m2sxkpyumzdfrafszp756yuphu

Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems

Dimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis
2012 International Journal of Computational Intelligence Systems  
and compact fuzzy rule-based classifiers, even for very high-dimensional feature spaces.  ...  This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the  ...  Prior to classification, the bands of the image were enhanced using a special image enhancement technique described in Ref. 21.  ... 
doi:10.1080/18756891.2012.685290 fatcat:d4rcvwjw3vh6blavulq5o33zfq

Vehicle Detection Using Fuzzy C-Means Clustering Algorithm

Rıdvan SARAÇOĞLU, Nooshin NEMATİ
2020 International Journal of Applied Mathematics Electronics and Computers  
A classification of the image is made in that way.  ...  In this study, a vehicle identification system, in which Fuzzy C-Means Algorithm is used for image segmentation and the Support Vector Machine is used for image classification, is presented.  ...  Based On Fuzzy Logic".  ... 
doi:10.18100/ijamec.799431 fatcat:f6vuktwq4fe2xmfxfwdswb3kaa

Visualizing Bag-of-Features Image Categorization Using Anchored Maps

Gao Yi, Hsiang-Yun Wu, Kazuo Misue, Kazuyo Mizuno, Shigeo Takahashi
2014 Proceedings of the 7th International Symposium on Visual Information Communication and Interaction - VINCI '14  
The bag-of-features models is one of the most popular and promising approaches for extracting the underlying semantics from image databases.  ...  Our main idea is to associate each image with a specific number of visual words to compose a bipartite graph, and then lay out the overall set of images using anchored map representation in which the ordering  ...  Visualizing SVM-based Image Classification We also equip our prototype system with an interface for classifying images using support vector marching (SVM).  ... 
doi:10.1145/2636240.2636858 dblp:conf/vinci/YiWMMT14 fatcat:ql25ypcezrffnjxoypgzt6hhwe

Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity

Qing Zhong, Jan H. Rüschoff, Tiannan Guo, Maria Gabrani, Peter J. Schüffler, Markus Rechsteiner, Yansheng Liu, Thomas J. Fuchs, Niels J. Rupp, Christian Fankhauser, Joachim M. Buhmann, Sven Perner (+10 others)
2016 Scientific Reports  
We present an integrative method combining bright-field dual-colour chromogenic and silver ISH assays with an image-based computational workflow (ISHProfiler), for accurate detection of molecular signals  ...  , high-throughput evaluation of CNV, expressive visualization of multilevel heterogeneity (cellular, inter-and intra-tumour heterogeneity), and objective quantification of heterogeneous genetic deletions  ...  assistance, and Peter Schraml, Tumour Tissue Bank of the University Hospital Zurich, for help with tissue microarray construction.  ... 
doi:10.1038/srep24146 pmid:27052161 pmcid:PMC4823793 fatcat:guiqbrbtnnewdfwmfhdaqvouve
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