activity
20142024
most citedExtracting an English-Persian Parallel Corpus from Comparable Corpora

14 citations · 20 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2024★ 4 cited

Local Binary Pattern(LBP) Optimization for Feature Extraction

Zeinab Sedaghatjoo, Hossein Hosseinzadeh, Bahram Sadeghi Bigham

The rapid growth of image data has led to the development of advanced image processing and computer vision techniques, which are crucial in various applications such as image class…

cs.CY2021

E-learning model for art education: Case study in Iran

Bahram Sadeghi Bigham, Mahboubeh Fannakhosrow, Aliakbar Safipour +2

According to the characteristics of art, art education according to Bloom's classification, should take place at high and close to the level of creativity. E-learning related to th…

cs.CV2021

Fingerprint Matching using the Onion Peeling Approach and Turning Function

Nazanin Padkan, B. Sadeghi Bigham, Mohammad Reza Faraji

Fingerprint, as one of the most popular and robust biometric traits, can be used in automatic identification and verification systems to identify individuals. Fingerprint matching…

cs.CG2021

Tiling Rectangles and the Plane using Squares of Integral Sides

Bahram Sadeghi Bigham, Mansoor Davoodi, Samaneh Mazaheri +1

We study the problem of perfect tiling in the plane and exploring the possibility of tiling a rectangle using integral distinct squares. Assume a set of distinguishable squares (or…

cs.CG2021

Lower Bound for Sculpture Garden Problem

Marzieh Eskandari, Bahram Sadeghi Bigham

The purpose of the current study is to investigate a special case of art gallery problem, namely Sculpture Garden Problem. In the said problem, for a given polygon , the ultimat…

cs.CG2021

Minimum Constraint Removal Problem for Line Segments is NP-hard

Bahram Sadeghi Bigham

In the minimum constraint removal (), there is no feasible path to move from the starting point towards the goal and, the minimum constraints should be removed in order to fin…

cs.CG2021

A new metaheuristic approach for the art gallery problem

Bahram Sadeghi Bigham, Sahar Badri, Nazanin Padkan

In the problem "Localization and trilateration with the minimum number of landmarks", we faced the 3-Guard and classic Art Gallery Problems. The goal of the art gallery problem is…

cs.CV2021★ 1 cited

Creating A New Color Space utilizing PSO and FCM to Perform Skin Detection by using Neural Network and ANFIS

Kobra Nazari, Samaneh Mazaheri, Bahram Sadeghi Bigham

Skin color detection is an essential required step in various applications related to computer vision. These applications will include face detection, finding pornographic images i…

cs.CG2021

Separating Geometric Data with Minimum Cost: Two Disjoint Convex Hulls

Bahram Sadeghi Bigham

In this study, a geometric version of an NP-hard problem ("Almost " problem) is introduced which has potential applications in clustering, separation axis, binary sensor net…

cs.DS2018

Iterated Greedy Algorithms for the Hop-Constrained Steiner Tree Problem

Farzane Yahyanejad, Bahram Sadeghi Bigham

The Hop-Constrained Steiner Tree problem (HCST) is challenging NP-hard problem arising in the design of centralized telecommunication networks where the reliability constraints mat…

cs.DS2018

Greedy Harmony Search Algorithm for the Hop Constrained Connected Facility Location

Farzane Yahyanejad, Bahram Sadeghi Bigham

We present a simple, robust and efficient harmony search algorithm for the Hop Constrained Connected Facility Location problem (HCConFL). The HCConFL problem is NP-hard that models…

cs.CL2017★ 14 cited

Extracting an English-Persian Parallel Corpus from Comparable Corpora

Akbar Karimi, Ebrahim Ansari, Bahram Sadeghi Bigham

Parallel data are an important part of a reliable Statistical Machine Translation (SMT) system. The more of these data are available, the better the quality of the SMT system. Howe…

cs.DS2014★ 1 cited

Design, Implementation and Evaluation of MTBDD based Fuzzy Sets and Binary Fuzzy Relations

Hamid A. Toussi, Bahram Sadeghi Bigham

For fast and efficient analysis of large sets of fuzzy data, elimination of redundancies in the memory representation is needed. We used MTBDDs as the underlying data-structure to…