98 Publications (Page 3 of 4)
2012
Feature extraction for facial expression recognition by canonical correlation analysis,Kanoni?k korelasyon anali?zi? i?le yüz i?fadesi?nden duygu tanima i??i?n özni?teli? k ?ikarimi?akar, C.O.⋅Kur?un, O.⋅Karaali, A. and Erdem, ?.E.
Message from the FOSINT-SI local chairsErdem, Z.⋅Özgül, F.⋅Ayan, U. and Kur?un, O.
Statistical bias and variance of gene selection and cross validation methods: A case study on hypertension predictionGormez, Z.⋅Kursun, O.⋅Sertbas, A.⋅Aydin, N. and Seker, H.(pp. 616-619)
2011
Canonical correlation analysis using within-class couplingKursun, O.⋅Alpaydin, E. and Favorov, O.V.Pattern Recognition Letters, vol. 32, pp. 134-144.
| Journal Article
Feature selection for the prediction of tropospheric ozone concentration using a wrapper methodSakar, C.O.⋅Demir, G.⋅Kursun, O.⋅Ozdemir, H.⋅Altay, G. and Yalcin, S.Intelligent Automation and Soft Computing, vol. 17, pp. 403-413.
| Journal Article
Neocortical layer 4 as a pluripotent function linearizerFavorov, Oleg V and Kursun, OlcayJournal of Neurophysiology, vol. 105, (no. 3), pp. 1342-1360, 2011.
| Journal Article
2010
A hybrid method for feature selection based on mutual information and canonical correlation analysisSakar, C.O. and Kursun, O.(pp. 4360-4363)
Canonical correlation analysis for multiview semisupervised feature extractionKursun, O. and Alpaydin, E.(pp. 430-436)
Classification of the colonic polyps in CT-colonography using region covariance as descriptor features of suspicious regions.Kiliç, Niyazi⋅Kurşun, Olcay and Ucan, Osman NJournal of medical systems, vol. 34, (no. 2), pp. 101-5, 2010/Apr.
| Journal Article
FEATURE SELECTION AND EXTRACTION USING AN UNSUPERVISED BIOLOGICALLY-SUGGESTED APPROXIMATION TO GEBELEIN'S MAXIMAL CORRELATIONKursun, Olcay and Favorov, Oleg VInternational Journal of Pattern Recognition and Artificial Intelligence, vol. 24, (no. 3), pp. 337-358, 2010.
| Journal Article
Prediction of protein sub-nuclear location by clustering mRMR ensemble feature selectionSakar, O.⋅Kursun, O.⋅Seker, H. and Gurgen, F.(pp. 2572-2575)
Spectral clustering with reverse soft K-nearest neighbor density estimationKursun, O.
Stacking class probabilities obtained from view-based cluster ensemblesKaya, H.⋅Kur?un, O. and ?eker, H.(pp. 397-404)
Telediagnosis of Parkinson's disease using measurements of dysphonia.Sakar, C O and Kurşun, OlcayJournal of medical systems, vol. 34, (no. 4), pp. 591-9, 2010/Aug.
| Journal Article
Using covariates for improving the minimum Redundancy Maximum Relevance feature selection method
Kur?un, O.⋅?akar, C.O.⋅Favorov, O.⋅Aydin, N. and Gürgen, F.
Turkish Journal of Electrical Engineering and Computer Sciences, vol. 18, pp. 975-987. | Journal Article
2009
Hyper-spectral image segmentation using spectral clustering with covariance descriptorsKursun, O.⋅Karabiber, F.⋅Koc, C. and Bal, A.
Organizational commitment of military physicians.Demir, Cesim⋅Sahin, Bayram⋅Teke, Kadir⋅Ucar, Muharrem and Kurşun, OlcayMilitary medicine, vol. 174, (no. 9), pp. 929-35, 2009/Sep.
| Journal Article
Parallel interacting multiview learning: An application to prediction of protein sub-nuclear locationSakar, C.O.⋅Kursun, O.⋅Seker, H.⋅Gürgen, F.⋅Aydin, N. and Favorov, O.V.
2008
A generalization of Shannon’s Mutual information for improved feature selection in databases involving possibly rare but well-predictable classesKur?un, O.(pp. 284-288)
Name matching in law enforcement databaseKursun, O.⋅Georgiopoulos, M. and Reynolds, K.(pp. 151-172)
2006
A dictionary-based approach to fast and accurate name matching in large law enforcement databasesKursun, O.⋅Koufakou, A.⋅Chen, B.⋅Georgiopoulos, M.⋅Reynolds, K.M. and Eaglin, R.(pp. 72-82)
Answer: Approximate name search with errors in large databases by a novel approach based on prefix-dictionaryKursun, O.⋅Koufakou, A.⋅Wakchaure, A.⋅Georgiopoulos, M.⋅Reynolds, K. and Eaglin, R.International Journal on Artificial Intelligence Tools, vol. 15, pp. 839-848.
| Journal Article
Matching images of never-before-seen individuals in large law enforcement databasesKursun, O.⋅Reynolds, K.M. and Favorov, O.(pp. 766-767)
2005
Development of an artificial intelligence system for detection and visualization of auto theft recovery patternsKursun, O.⋅Reynolds, K.⋅Eaglin, R.⋅Chen, B. and Georgiopoulos, M.(pp. 25-29)