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Unsupervised image segmentation by mutual information maximization and adversarial regularization
, Article IEEE Robotics and Automation Letters ; Volume 6, Issue 4 , 2021 , Pages 6931-6938 ; 23773766 (ISSN) ; Royat, A ; Rezatofighi, H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Semantic segmentation is one of the basic, yet essential scene understanding tasks for an autonomous agent. The recent developments in supervised machine learning and neural networks have enjoyed great success in enhancing the performance of the state-of-the-art techniques for this task. However, their superior performance is highly reliant on the availability of a large-scale annotated dataset. In this letter, we propose a novel fully unsupervised semantic segmentation method, the so-called Information Maximization and Adversarial Regularization Segmentation (InMARS). Inspired by human perception which parses a scene into perceptual groups, rather than analyzing each pixel individually, our...
Cobalt-based metal-organic framework-functionalized graphene oxide modified electrode as a new electrochemical sensing platform for detection of free chlorine in aqueous solution
, Article Analytical Biochemistry ; Volume 681 , 2023 ; 00032697 (ISSN) ; Pourmortazavi, M ; Ehsani, A ; Mirsadeghi, S ; Sharif University of Technology
Academic Press Inc
2023
Abstract
This work reports the profit of using a MOF compound for developing a sensitive electrochemical sensor to free chlorine detection in an aqueous solution. Co-MOF and FGO composites were synthesized and combined with the carbon paste (CP) to prepare an efficient electrochemical sensor with high sensing ability. The fabricated Co-MOF and FGO composites were characterized by SEM, EDX, FT-IR, and XRD techniques. Meanwhile, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were utilized to assess the electrochemical performance of the Co-MOF-FGO/CP modified electrode. Under the optimized condition, the amperometric detection showed that the reduction current of free chlorine...
Point-map-probabilities of a point process and Mecke's invariant measure equation
, Article Annals of Probability ; Volume 45, Issue 3 , 2017 , Pages 1723-1751 ; 00911798 (ISSN) ; Haji Mirsadeghi, M. O ; Sharif University of Technology
Institute of Mathematical Statistics
2017
Abstract
A compatible point-shift F maps, in a translation invariant way, each point of a stationary point process Φ to some point of Φ. It is fully determined by its associated point-map, f, which gives the image of the origin by F. It was proved by J. Mecke that if F is bijective, then the Palm probability of Φ is left invariant by the translation of -f . The initial question motivating this paper is the following generalization of this invariance result: in the nonbijective case, what probability measures on the set of counting measures are left invariant by the translation of -f ? The point-map-probabilities of Φ are defined from the action of the semigroup of point-map translations on the space...
Sparse Quadratic Discriminant Analysis and Community Bayes
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Miromid (Supervisor)
Abstract
In this thesis, various methods for solving the classification problem with algorithms for some of their estimations, will be discussed. First, linear discriminant analysis (LDA), which is the most basic likelihood based method of classification is studied. In the next section, regularized discriminant analysis, a version of LDA in which the covariance matrix of each class is shrank toward the identity matrix, is studied. Then the ridge fusion in which a penalty is added to the likelihood function so that in the joint estimation of covariance matrices of dierent classes, all arrays become equal as much as possible is discussed. In the joint graphical lasso,precision matrices of dierent...
Point-shift foliation of a point process
, Article Electronic Journal of Probability ; Volume 23 , 2018 ; 10836489 (ISSN) ; Haji Mirsadeghi, M. O ; Sharif University of Technology
University of Washington
2018
Abstract
A point-shift F maps each point of a point process Φ to some point of Φ. For all translation invariant point-shifts F, the F-foliation of Φ is a partition of the support of Φ which is the discrete analogue of the stable manifold of F on Φ. It is first shown that foliations lead to a classification of the behavior of point-shifts on point processes. Both qualitative and quantitative properties of foliations are then established. It is shown that for all point-shifts F, there exists a point-shift F⊥, the orbits of which are the F-foils of Φ, and which is measure-preserving. The foils are not always stationary point processes. Nevertheless, they admit relative intensities with respect to one...
Preclustering algorithms for imprecise points
, Article 17th Scandinavian Symposium and Workshops on Algorithm Theory, SWAT 2020, 22 June 2020 through 24 June 2020 ; Volume 162 , 2020 ; de Berg, M ; Farahzad, S ; Haji Mirsadeghi, M. O ; Saghafian, M ; Sharif University of Technology
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
2020
Abstract
We study the problem of preclustering a set B of imprecise points in Rd: we wish to cluster the regions specifying the potential locations of the points such that, no matter where the points are located within their regions, the resulting clustering approximates the optimal clustering for those locations. We consider k-center, k-median, and k-means clustering, and obtain the following results. Let B := {b1, . . ., bn} be a collection of disjoint balls in Rd, where each ball bi specifies the possible locations of an input point pi. A partition C of B into subsets is called an (f(k), α)preclustering (with respect to the specific k-clustering variant under consideration) if (i) C consists of...
Preclustering algorithms for imprecise points
, Article Algorithmica ; Volume 84, Issue 6 , 2022 , Pages 1467-1489 ; 01784617 (ISSN) ; de Berg, M ; Farahzad, S ; Haji Mirsadeghi, M. O ; Saghafian, M ; Sharif University of Technology
Springer
2022
Abstract
We study the problem of preclustering a set B of imprecise points in Rd: we wish to cluster the regions specifying the potential locations of the points such that, no matter where the points are located within their regions, the resulting clustering approximates the optimal clustering for those locations. We consider k-center, k-median, and k-means clustering, and obtain the following results. Let B: = { b1, … , bn} be a collection of disjoint balls in Rd, where each ball bi specifies the possible locations of an input point pi. A partition C of B into subsets is called an (f(k) , α) -preclustering (with respect to the specific k-clustering variant under consideration) if (i) C consists of...
Consistency of Lasso Estimator
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
In this thesis, we are going to study the consistency properties of one of the most well-known linear estimators – LASSO estimator. First, we bring up some necessary background for introducing this estimator. Then, we are able to introduce primary and secondary forms of LASSO estimator. After that, we prove that primary form of the LASSO estimator is weakly consistent under certain weak conditions. We, also, prove a much stronger statement about the secondary form. We prove that the secondary form is strongly consistent. What’s more, with extra assumptions, we specify the convergence rate of the estimator. Finally, we propose a method for determining free parameter of primary form of LASSO,...
Biased Random Walk On Galton-Watson Tree With Leaves
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
We consider a biased random walk Xn on a Galton-watson tree with leaves in the subballistic regime. We prove that there exists an explicit constant ϒ = ϒ(β) ε (0,1),such that |Xn| is of order n. If Δn be the hitting time of level n, we prove that Δn{n1{ is tight. More ever we show thatΔn{n1{ does not converge in law. We prove that along the sequences npkq Xk\ , Δn{n1{ converges to certain infinity divisible laws. Key tools for the proof are the classical Harris decomposition for Galton-Watson trees, a new variant of regeneration times and the careful analysis of triangular arrays of i.i.d. random variables
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
Sometimes, the relationship between two random variables is not a correlation, but, a causal relationship where only changes in one of the two variables can lead to changes in the second one. The importance of examining such cause-effect relationships lies in the fact that sometimes, beyond just knowing the correlation between two variables, we are looking for an active effect on one, and knowing whether or not other correlated variables will also change with the change of this variable is of key importance. Such a process of exploring and analyzing cause-effect relationships is called causal learning. Based on this, in this thesis, we will first review the methods of causal inference, as...
Combinational therapy of lithium and human neural stem cells in rat spinal cord contusion model
, Article Journal of Cellular Physiology ; Volume 234, Issue 11 , 2019 , Pages 20742-20754 ; 00219541 (ISSN) ; Sadrosadat, H ; Jaberi, R ; Zareikheirabadi, M ; Mirsadeghi, S ; Naghdabadi, Z ; Ghaneezabadi, M ; Fardmanesh, M ; Baharvand, H ; Kiani, S ; Sharif University of Technology
Wiley-Liss Inc
2019
Abstract
A large number of treatment approaches have been used for spinal cord injury improvement, a medically incurable disorder, and subsequently stem cell transplantation appears to be a promising strategy. The main objective of this study is to ascertain whether combinational therapy of human neural stem cells (hNSCs) together with lithium chloride improves cell survival, proliferation, and differentiation in a rat spinal contusion model, or not. Contusive spinal cord injury was implemented on Wistar male rats. Experimental groups comprised of: control, hNSCs transplanted, lithium chloride (Li), and hNSCs and lithium chloride (hNSCs + Li). In every experimental group, locomotor activity score and...
Optimal paths on the space-time SINR random graph
, Article Advances in Applied Probability ; Volume 43, Issue 1 , 2011 , Pages 131-150 ; 00018678 (ISSN) ; Blaszczyszyn, B ; Haji Mirsadeghi, M. O ; Sharif University of Technology
2011
Abstract
We analyze a class of signal-to-interference-and-noise-ratio (SINR) random graphs. These random graphs arise in the modeling packet transmissions in wireless networks. Tn contrast to previous studies on STNR graphs, we consider both a space and a time dimension. The spatial aspect originates from the random locations of the network nodes in the Euclidean plane. The time aspect stems from the random transmission policy followed by each network node and from the time variations of the wireless channel characteristics. The combination of these random space and time aspects leads to fluctuations of the SINR experienced by the wireless channels, which in turn determine the progression of packets...
Objective Method
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
In this thesis we introduce the objective method for solving combinatorial probability problems and combinatorial optimization. For introducing this method, we consider its application in solving problems such as graphs maximal partial matching problem. Then we introduce mean-field model, which has a close relationship with this method. Finally we use this method to discuss perfect mathching with minimal cost in complete graphs, and using obtaind theorems and concepts from solving this problem, like involution invariance and standard construction, we find an answer for random assigment problem, which is one of the most practical problems in the class of optimization problems
Controlling the False Discovery Rate Via Knockoffs
, M.Sc. Thesis Sharif University of Technology ; Haji MirSadeghi, Mir Omid (Supervisor)
Abstract
In many fields of science, we observe a response variable together with a large number of potential explanatory variables, and would like to be able to discover which variables are truly associated with the response. At the same time, we need to know that the false discovery rate (FDR)—the expected fraction of false discoveries among all discoveries—is not too high, in order to assure the scientist that most of the discoveries are indeed true and replicable. This paper introduces the knockoff filter, a new variable selection procedure controlling the FDR in the statistical linear model whenever there are at least as many observations as variables. This method achieves exact FDR control in...
Balancing Admission Control, Speedup, and Waiting Time in Multi-Server Queuing Systems
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
To reduce customer waiting times in various service conditions, admission control and service speedup can be implemented during times of congestion. In a healthcare setting, this may result in a patient being redirected to an alternative treatment facility. Additionally, waiting for patients can have negative impacts on their health and controlling population density can be costly. Implementing these measures may also take too much time or deviate from the ideal treatment. In this thesis, we will evaluate multi-server queuing systems by considering both speed and admission control simultaneously. We will use dynamic programming to determine the optimal control characteristics and calculate...
Limiting Geodesics for First-Passage Ppercolation on Subsets of Z^2
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
In this dissertation, we investigate the problem of the existence of finite geodetic sequences from point to point (0, n). This has not been proven in the general case. In this dissertation, we present an article that illustrates this question in a particular case of z ^ 2 subspaces whose self and complement are infinite and connected (e.g., slit planes, half-planes, and sectors). Writing x_n for the sequence of boundary vertices, we show that the sequence of geodesics from any point to x_n has an almost sure limit assuming only existence of finite geodesics. For all passage-time configurations, we show existence of a limiting Busemann function. Specializing to the case of the half-plane, we...
Causal Inference and CUPED Randomized Experiments
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
In today’s world, large internet companies carry a lot of data. The tests with low triggering rate are designed for causal inference. By regarding the economic scale of Internet companies and high decision -making speeds, it is essential to use variance reduction methods to estimate the causal effect of treatment with sufficient precision. To this goal, the trigger- dilute analysis method is designed and used. When it comes to partial triggering, the stimulation analysis method loses its efficiency, so a new replacement method is designed in which an unbiased estimation along with the reduction of variance is presented to estimate ITT within one-way experiments. This method is based on the...
Engineering the photocatalytic performance of B-C3N4@Bi2S3 hybrid heterostructures for full‐spectrum‐driven Cr(VI) reduction and in-situ H2O2 generation: Experimental and DFT studies
, Article Chemical Engineering Journal ; Volume 452 , 2023 ; 13858947 (ISSN) ; Ranjith, K. S ; Ghasemi, M ; Park, B ; Hwang, S. -K ; Irannejad, N ; Norouzi, M ; Park, S. Y ; Behjatmanesh-Ardakani, R ; Pourmortazavi, S. M ; Mirsadeghi, S ; Han, Y. -K ; Huh, Y. S ; Sharif University of Technology
Elsevier B.V
2023
Abstract
Graphitic carbon nitride (g-CN) is a promising metal-free catalyst for environmental remediation. However, its practical applications have been limited due to insufficient solar-light responsivity. Hetero-element doping and the construction of heterostructures, comprised of g-CN and other band-matched semiconductors could be considered to overcome these drawbacks. In the present work, a series of 2D/3D heterostructures comprised of a few layers of boron-doped g-CN (B-CN) anchored on sea urchin-like Bi2S3 (BS) particles (B-CN@BS) were successfully synthesized. The catalytic performances of B-CN@BS composites were assessed for the photo-reduction of Cr(VI) and in-situ generation of H2O2 under...
Generative Adversarial Networks
, M.Sc. Thesis Sharif University of Technology ; Haji Mirsadeghi, Mir Omid (Supervisor)
Abstract
In this thesis we try to understand one of the most important subfield of deep learning, the generative adversarial networks. In this framework the goal is to reach a generator that generates samples from a target distribution. The target distribution is usually su- per high dimensional and we only have sample access to it. primarily , this distribution was used to be for set of Images (e.g. images of celebrity faces) and GANs performed well in this setting. In this framework two models work simultaneously: a generator tries to generate realistic samples from the target distribution and a discriminator or critic tries to distinguish real samples from generated (fake) samples or more...
Determination of nanoparticles using UV-Vis spectra
, Article Nanoscale ; Volume 7, Issue 12 , Feb , 2015 , Pages 5134-5139 ; 20403364 (ISSN) ; Ghasemi, F ; Ghalkhani, M ; Ashkarran, A. A ; Akbari, S. M ; Pakpour, S ; Hormozi Nezhad, M. R ; Jamshidi, Z ; Mirsadeghi, S ; Dinarvand, R ; Atyabi, F ; Mahmoudi, M ; Sharif University of Technology
Royal Society of Chemistry
2015
Abstract
Nanoparticles (NPs) are increasingly being used in different branches of science and in industrial applications; however, their rapid detection and characterization at low concentration levels have remained a challenge; more specifically, there is no single technique that can characterize the physicochemical properties of NPs (e.g. composition and size). In this work we have developed a colorimetric sensor array for defining the physicochemical properties of NPs in aqueous solution with ultra-low concentrations (e.g. 10-7g ml-1 for gold NPs). Various NPs were readily identified using a standard chemometric approach (i.e. hierarchical clustering analysis), with no misclassifications over 400...