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discriminators
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Total 144 records
Color discrimination in Caspian pony
, Article Ippologia ; Volume 19, Issue 1 , 2008 , Pages 27-37 ; 11205776 (ISSN) ; Pishkar, J ; Asadi, M. R ; Abavisani, A ; Mahadavi, A ; Hassani Bafarani, A. R ; Sharif University of Technology
2008
Abstract
Although an early and influential review led to the often-cited conclusion that color vision is rare among mammals, more recent findings suggest that it is actually widespread. According to Jacobs (1993, 2004), all non-nocturnal mammalian species that have been adequately examined show some color vision capacity, although the degree varies enormously. Data on the presence and characteristics of color vision in the horse, however, remain sparse (and almost none in the case of ponies). Eight Caspian pony (four mares and four stallions) were presented with a series of two-choice color vs. grey discrimination problems. Experiments were performed in a box of 3×3 meter containing a wall with two...
Sensitivity improvement of Phase-Noise Measurement of mcrowave oscillators using if delay line based discriminator
, Article IEEE Microwave and Wireless Components Letters ; Volume 26, Issue 7 , 2016 , Pages 546-548 ; 15311309 (ISSN) ; Banai, A ; Farzaneh, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
Abstract
The conventional delay-line discriminator method for phase noise measurement is modified to achieve better sensitivity. In the proposed technique, to decrease delay-line loss, the under-test oscillator's microwave frequency is down-converted by another oscillator, and delay-line is implemented in the IF range. Full validation of the technique is presented. In adition, we experimentally demonstrate that system sensitivity is considerably improved compared to the conventional method
Frame-based face emotion recognition using linear discriminant analysis
, Article 3rd Iranian Conference on Signal Processing and Intelligent Systems, ICSPIS 2017, 20 December 2017 through 21 December 2017 ; Volume 2017-December , December , 2018 , Pages 141-146 ; 9781538649725 (ISBN) ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
In this paper, a frame-based method with reference frame was proposed to recognize six basic facial emotions (anger, disgust, fear, happy, sadness and surprise) and also neutral face. By using face landmarks, a fast algorithm was used to calculate an appropriate descriptor for each frame. Furthermore, Linear Discriminant Analysis (LDA) was used to reduce the dimension of defined descriptors and to classify them. The LDA problem was solved using the least squares solution and Ledoit-Wolf lemma. The proposed method was also compared with some studies on CK+ dataset which has the best accuracy among them. To generalize the proposed method over CK+ dataset, a landmark detector was needed....
Evaluation of Gender Discrimination in the Allocation of Educational Expenditure in the Iranian’s Household
,
M.Sc. Thesis
Sharif University of Technology
;
Fatemi Ardestani, Farshad
(Supervisor)
Abstract
In the past few decades a range of human capital theories were developed by economists. In all these, education and training are considered as a prominent aspect of the human capital. Among all influential factors on the education, the role of the family in the allocation of educational expenditure is one of the most important factors. In this research, we investigate whether in gendr discrimination among sibiling is observed in Iranian households. Based on household budget data, we estimate the Engel curve in order to investigate the gender discrimination in the allocation of educational expenditure. Families divided into 6 clusters based on the composition of their children and the tests...
K-LDA: an algorithm for learning jointly overcomplete and discriminative dictionaries
, Article European Signal Processing Conference ; 10 November 2014 , 2014 , pp. 775-779 ; ISSN: 22195491 ; ISBN: 9780992862619 ; Joneidi, M ; Sadeghi, M ; Babaie Zadeh, M ; Jutten, C ; Sharif University of Technology
Abstract
A new algorithm for learning jointly reconstructive and discriminative dictionaries for sparse representation (SR) is presented. While in a usual dictionary learning algorithm like K-SVD only the reconstructive aspect of the sparse representations is considered to learn a dictionary, in our proposed algorithm, which we call K-LDA, the discriminative aspect of the sparse representations is also addressed. In fact, K-LDA is an extension of K-SVD in the case that the class informations (labels) of the training data are also available. K-LDA takes into account these information in order to make the sparse representations more discriminate. It makes a trade-off between the amount of...
The extent of EFQM effectiveness in routine and non-routine organizations based on multivariate techniques: an empirical study
, Article Operational Research ; 2016 , Pages 1-31 ; 11092858 (ISSN) ; Noorossana, R ; Najmi, M ; Sharif University of Technology
Springer Verlag
2016
Abstract
Despite the fact that a variety of analyses are conducted based on the performance of business excellence models according to organization type such as ownership, size and etc., the performance of organizations based on the factor of being routine or non-routine has not been investigated yet. In this paper, implementation of the European Foundation for Quality Management (EFQM) model for these types of organizations (routine and non-routine) has been examined. In order to do that, first we have developed a methodology to classify organizations into routine and non-routine categories. Then we have used discriminant analysis based on three factors, including process uncertainty, knowledge...
The extent of EFQM effectiveness in routine and non-routine organizations based on multivariate techniques: an empirical study
, Article Operational Research ; Volume 19, Issue 1 , 2019 , Pages 237-267 ; 11092858 (ISSN) ; Noorossana, R ; Najmi, M ; Sharif University of Technology
Springer Verlag
2019
Abstract
Despite the fact that a variety of analyses are conducted based on the performance of business excellence models according to organization type such as ownership, size and etc., the performance of organizations based on the factor of being routine or non-routine has not been investigated yet. In this paper, implementation of the European Foundation for Quality Management (EFQM) model for these types of organizations (routine and non-routine) has been examined. In order to do that, first we have developed a methodology to classify organizations into routine and non-routine categories. Then we have used discriminant analysis based on three factors, including process uncertainty, knowledge...
A novel hybrid HMM/ANN structure for discriminative training in speech recognition
, Article Scientia Iranica ; Volume 7, Issue 3-4 , 2000 , Pages 186-196 ; 10263098 (ISSN) ; Nayebi, K ; Sharif University of Technology
Sharif University of Technology
2000
Abstract
In this paper, a new formulation for discriminative training of HMMs is introduced as a solution to several speech recognition problems. This formulation uses a properly trained MLP in a simple interconnection with HMMs called "Cascade HMM/ANN Hybrid". The training algorithm has simple realization in comparison with other discriminative training for HMMs such as MDI and MMI. Also a rigid mathematical proof of its convergence has been presented. No significant increase in computational requirements is needed in recognition phase and the recognition task can still be performed in real-time. This structure has been employed in some isolated and continuous speaker-independent speech recognition...
Discrimination of dephasing channels
, Article Journal of Physics A: Mathematical and Theoretical ; Volume 55, Issue 24 , 2022 ; 17518113 (ISSN) ; Memarzadeh, L ; Mancini, S ; Sharif University of Technology
Institute of Physics
2022
Abstract
The problem of dephasing channel discrimination is addressed for finite-dimensional systems. In particular, the optimization with respect to input states without energy constraint is solved analytically for qubit, qutrit and ququart. Additionally, it is shown that resorting to side entanglement assisted strategy is completely useless in this case. © 2022 IOP Publishing Ltd
Detection of Event Related Potentials Using Tensor Decomposition
, M.Sc. Thesis Sharif University of Technology ; Shamsollahi, Mohammad Bagher (Supervisor)
Abstract
Tensors are valuable tools to represent EEG data. Tucker decomposition is the most used tensor decomposition in multidimensional discriminant analysis and tensor extension of LDA (Higher Order Discriminant Analysis-HODA) is a popular tensor discriminant method used for data of ERP-based BCIs. In this Thesis we introduce a new tensor-based feature reduction technique, named Higher Order Spectral Regression Discriminant Analysis (HOSRDA), with application in P300-based BCIs. The proposed method (HOSRDA) is a tensor extension of Spectral Regression Discriminant Analysis (SRDA) and casts the eigenproblem of HODA to a regression problem and therefore overcome the probable issue of singularity of...
Face recognition using boosted regularized linear discriminant analysis
, Article ICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation, 22 January 2010 through 24 January 2010, Sanya ; Volume 2 , 2010 , Pages 89-93 ; 9780769539416 (ISBN) ; Kasaei, S ; Alizadeh, S ; Sharif University of Technology
2010
Abstract
Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper, we have proposed the boosting method for face recognition (FR) that improves the linear discriminant analysis (LDA)-based technique. The improvement is achieved by incorporating the regularized LDA (R-LDA) technique into the boosting framework. R-LDA is based on a new regularized Fisher's discriminant criterion, which is particularly robust against the small sample size problem compared to the traditional one used in LDA. The AdaBoost technique is utilized within this framework to generalize a set of simple FR subproblems and their corresponding LDA solutions and combines the results from...
Gold-nanoparticle-based colorimetric sensor array for discrimination of organophosphate pesticides
, Article Analytical Chemistry ; Volume 88, Issue 16 , 2016 , Pages 8099-8106 ; 00032700 (ISSN) ; Hormozi Nezhad, M. R ; Sharif University of Technology
American Chemical Society
Abstract
There is a growing interest in developing high-performance sensors monitoring organophosphate pesticides, primarily due to their broad usage and harmful effects on mammals. In the present study, a colorimetric sensor array consisting of citrate-capped 13 nm gold nanoparticles (AuNPs) has been proposed for the detection and discrimination of several organophosphate pesticides (OPs). The aggregation-induced spectral changes of AuNPs upon OP addition has been analyzed with pattern recognition techniques, including hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). In addition, the proposed sensor array has the capability to identify individual OPs or mixtures of them in...
Development of a colorimetric sensor array based on monometallic and bimetallic nanoparticles for discrimination of triazole fungicides
, Article Analytical and Bioanalytical Chemistry ; April , 2021 ; 16182642 (ISSN) ; Fahimi Kashani, N ; Hormozi Nezhad, M. R ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Due to the widespread use of pesticides and their harmful effects on humans and wildlife, monitoring their residual amounts in crops is critically essential but still challenging regarding the development of high-throughput approaches. Herein, a colorimetric sensor array has been proposed for discrimination and identification of triazole fungicides using monometallic and bimetallic silver and gold nanoparticles. Aggregation-induced behavior of AgNPs, AuNPs, and Au-AgNPs in the presence of four triazole fungicides produced a fingerprint response pattern for each analyte. Innovative changes to the metal composition of nanoparticles leads to the production of entirely distinct response patterns...
Distinction of non-specific low back pain patients with proprioceptive disorders from healthy individuals by linear discriminant analysis
, Article Frontiers in Bioengineering and Biotechnology ; Volume 10 , 2022 ; 22964185 (ISSN) ; Davoudi, M ; Hoviattalab, M ; Abedi, M ; Bervis, S ; Parnianpour, M ; Brumagne, S ; Khalaf, K ; Sharif University of Technology
Frontiers Media S.A
2022
Abstract
The central nervous system (CNS) dynamically employs a sophisticated weighting strategy of sensory input, including vision, vestibular and proprioception signals, towards attaining optimal postural control during different conditions. Non-specific low back pain (NSLBP) patients frequently demonstrate postural control deficiencies which are generally attributed to challenges in proprioceptive reweighting, where they often rely on an ankle strategy regardless of postural conditions. Such impairment could lead to potential loss of balance, increased risk of falling, and Low back pain recurrence. In this study, linear and non-linear indicators were extracted from center-of-pressure (COP) and...
The Effects of Expansion of Higher Education on the Educational Discrimination in Iran
, M.Sc. Thesis Sharif University of Technology ; Vesal, Mohammad (Supervisor)
Abstract
Emphasis on the expansion of education in Iran's development strategy and increasing demand for higher education in the 2000s required the country to develop higher educational institutes. Unprecedented growth of these institutes in the second half of 2000s was so vast that in 2008 all the counties in Iran had at least one institute. These institutes were established even in the smallest counties in order to solve the problem of transportation for its settlers, and on the other hand, developing higher education institutes in larger cities resulted in an increase in the acceptance rate of these institutes and their accessibility for the people. Moreover, lower accessibility to higher...
Discriminative spoken language understanding using statistical machine translation alignment models
, Article Communications in Computer and Information Science ; Vol. 427, issue , Sep , 2014 , pp. 194-202 ; ISSN: 18650929 ; ISBN: 9783319108490 ; Khadivi, S ; Ghidary, S. S ; Bokaei, M. H ; Sharif University of Technology
Abstract
In this paper, we study the discriminative modeling of Spoken Language Understanding (SLU) using Conditional Random Fields (CRF) and Statistical Machine Translation (SMT) alignment models. Previous discriminative approaches to SLU have been dependent on n-gram features. Other previous works have used SMT alignment models to predict the output labels. We have used SMT alignment models to align the abstract labels and trained CRF to predict the labels. We show that the state transition features improve the performance. Furthermore, we have compared the proposed method with two baseline approaches; Hidden Vector States (HVS) and baseline-CRF. The results show that for the F-measure the proposed...
Development of a robust method for an online P300 Speller Brain Computer Interface
, Article International IEEE/EMBS Conference on Neural Engineering, NER, San Diego, CA ; 2013 , Pages 1070-1075 ; 19483546 (ISSN); 9781467319690 (ISBN) ; Bahrani, M ; Setarehdan, S. K ; Sharif University of Technology
2013
Abstract
This research presents a robust method for P300 component recognition and classification in EEG signals for a P300 Speller Brain-Computer Interface (BCI). The multiresolution wavelet decomposition technique was used for feature extraction. The feature selection was done using an improved t-test method. For feature classification the Quadratic Discriminant Analysis was employed. No any particular specification is previously assumed in the proposed algorithm and all the constants of the system are optimized to generate the highest accuracy on a validation set. The method is first verified in offline experiments on 'BCI competition 2003' data set IIb and data recorded by Emotiv Neuroheadset and...
Combination of harmony search and linear discriminate analysis to improve classification
, Article 2009 3rd Asia International Conference on Modelling and Simulation, AMS 2009, Bandung, Bali, 25 May 2009 through 26 May 2009 ; 2009 , Pages 131-135 ; 9780769536484 (ISBN) ; Asgarian, E ; Zanjani, M ; Rezaee, A ; Seidi, M ; Universitas Katolik Parahyangan; Nottingham Trent University; UKSim; IEEE Computer Society; Asia Modelling and Simulation Society, AMSS ; Sharif University of Technology
2009
Abstract
An appropriate pre-processing algorithm in classification is not only of great importance with respect to classifier choice, but also would be more crucial. In this paper, a pre-processing step is proposed in order to increase accuracy of classification. The aim of this approach is finding a transformation matrix causes classes to be more discriminable by transforming data into the new space and consequently, increases the classification accuracy. This transformation matrix is computed through two methods based on linear discrimination. In the first method, we use class independent LDA to increase classification accuracy by finding a transformation that maximizes the between-class scatter...
Expert Finding in Bibliographic Network
, M.Sc. Thesis Sharif University of Technology ; Beigy, Hamid (Supervisor)
Abstract
Expert finding in bibliographic networks has received increasing attention in recent years. This task concerns with finding relevant researchers for a given topic. In this thesis, we propose a model to determine authority of authors who have participated in the Communities. This model has a little improvement over community based baseline model. However, due to the low performance of community based models, the proposed authority based model cannot improve the document based baseline models either. Therefore, we try to improve document based models, instead of community based models and have proposed two other models which are based on authors’ topic dominance for expert finding. Document...
Neutron-Gamma Discrimination by a Dual Detector
, M.Sc. Thesis Sharif University of Technology ; Vosoughi, Naser (Supervisor)
Abstract
This thesis examines various approaches of digital and analog methods of neutron - gamma discrimination. The analog detector used in this research is a type of 2inch and NE213 liquid scintillator. The applied analog discrimination method is the zero-crossing time and the Neutron Source is AmBe. In digital discrimination, the simulated pulses are generated and used for the experiment of the research. The method used to separate the data are two partitional clustering methods, namely FCM and K-Medoids. The FCM and K-Medoids are two data mining approaches in which the input data are grouped in two or more clusters based on their similarities. The merit of this approach is that this algorithms...