Automatic fingerprint recognation

Erol, Ali


Contour-based object recognition using attributed string matching
Kaygın, Serkan; Bulut, Mehmet Mete; Department of Electrical and Electronics Engineering (2001)
Carbon regulated supply chain management
Cansız, Selcan; Bayındır, Zeynep Pelin; Tan, Tarkan; Department of Industrial Engineering (2010)
In this study, carbon dioxide emissions resulting from transportation are assessed, carbon emission reduction opportunities in the current service supply chain design of Cisco Systems, Inc. are explored. Among these opportunities, changing transport mode from a high-carbon transport mode to a low-carbon transport mode is found to be the most promising option and is scrutinized. The effect of transportation mode change on carbon emission and expected total cost are scrutinized by developing a mathematical mo...
Senaras, Caglar; Yuksel, Baris; Ozay, Mete; Yarman-Vural, Fatos (2012-07-27)
This paper proposes a novel approach to building detection problem in satellite images. The proposed method employs a two layer hierarchical classification mechanism for ensemble learning. After an initial segmentation, each segment is classified by N different classifiers using different features at the first layer. The class membership values of the segments, which are obtained from different base layer classifiers, are ensembled to form a new fusion space, which forms a linearly separable simplex. Then, ...
Search for Physics Beyond the Standard Model in Events with High-Momentum Higgs Bosons and Missing Transverse Momentum in Proton-Proton Collisions at 13 TeV
Sirunyan, A. M.; et. al. (2018-06-01)
A search for physics beyond the standard model in events with one or more high-momentum Higgs bosons, H, decaying to pairs of b quarks in association with missing transverse momentum is presented. The data, corresponding to an integrated luminosity of 35.9 fb(-1), were collected with the CMS detector at the LHC in proton-proton collisions at the center-of-mass energy root s = 13 TeV. The analysis utilizes a new b quark tagging technique based on jet substructure to identify jets from H -> b (b) over bar. Ev...
Automatic Speech Emotion Recognition using Auditory Models with Binary Decision Tree and SVM
Yuncu, Enes; Hacıhabiboğlu, Hüseyin; Bozsahin, Cem (2014-08-28)
Affective computing is a term for the design and development of algorithms that enable computers to recognize the emotions of their users and respond in a natural way. Speech, along with facial gestures, is one of the primary modalities with which humans express their emotions. While emotional cues in speech are available to an interlocutor in a dyadic conversation setting, their subjective recognition is far from accurate. This is due to the human auditory system which is primarily non-linear and adaptive....
Citation Formats
A. Erol, “Automatic fingerprint recognation,” Ph.D. - Doctoral Program, Middle East Technical University, 2001.