Exploiting structural information of data in active learning

, Article Artificial Intelligence and Soft Computing: Lecture Notes in Computer Science ; Volume 8468 LNAI, Issue PART 2 , 2014 , Pages 796-808 Shadloo, Maryam ; Beigy, Hamid ; Haghiri, Siavash ; Sharif University of Technology

2014

Abstract

In recent years, the active learning algorithms have focused on combining correlation criterion and uncertainty criterion for evaluating instances. Although these criteria might be useful, applying these measures on whole input space globally may lead to inefficient selected instances for active learning. The proposed method takes advantage of clustering to partition input space to subspaces. Then it exploits both labeled and unlabeled data locally for selection of instances by using a graph-based active learning. We define a novel utility score for selecting clusters by combining uncertainty criterion, local entropy of clusters and the factor of contribution of each cluster in queries....

Image Classification Using Sparse Representation

, M.Sc. Thesis Sharif University of Technology Haghiri, Siyavash (Author) ; Rabiee, Hamid Reza (Supervisor)

Abstract

In this thesis, we have discussed image classification by sparse representation. Sparse representation is used in two different ways for image classification. The first goal of sparse representation is to make an efficient classifier, that can learn the subspace, in which the data lies. In this field we have surveyed various methods. We also proposed a method, called ”Locality Preserving Dictionary Learning” that works approximately better than state of the art similar methods, specially when training data is limited. We have reported the result of lassification on four datasets including MNIST, USPS, COIL2 and ISOLET. Another use of sparse representation, is to extract local features from...

Steady flow quality assessment of a modified transonic wind tunnel

, Article Scientia Iranica ; Volume 20, Issue 3 , 2013 , Pages 500-507 ; 10263098 (ISSN) Amiri, K ; Soltani, M. R ; Haghiri, A ; Sharif University of Technology

2013

Abstract

An existing operational trisonic wind tunnel is upgraded to improve its performance criterion in the transonic regime. In this research, the test section is modified according to the operational requirements of the various existing transonic wind tunnels. Several perforated walls are designed, manufactured, and installed on the top and bottom sides of the test section. The flow in the test section of the wind tunnel is surveyed for the empty condition prior to testing models. Once satisfactory results regarding the flow quality requirements in the test section under various conditions were achieved, a 2D model, NACA 0012, and a 3D standard model for the transonic wind tunnels, AGARD-B, are...

Active one-class learning by kernel density estimation

, Article IEEE International Workshop on Machine Learning for Signal Processing, 18 September 2011 through 21 September 2011 ; Septembe , 2011 , Page(s): 1 - 6 ; 9781457716232 (ISBN) Ghasemi, A ; Manzuri, M. T ; Rabiee, H. R ; Rohban, M. H ; Haghiri, S ; Sharif University of Technology

2011

Abstract

Active learning has been a popular area of research in recent years. It can be used to improve the performance of learning tasks by asking the labels of unlabeled data from the user. In these methods, the goal is to achieve the highest possible accuracy gain while posing minimum queries to the user. The existing approaches for active learning have been mostly applicable to the traditional binary or multi-class classification problems. However, in many real-world situations, we encounter problems in which we have access only to samples of one class. These problems are known as one-class learning or outlier detection problems and the User relevance feedback in image retrieval systems is an...

Simulation, Design and Fabrication of Microfluidic Systems for the Enrichment of Cancer Stem Cells and the Pharmacological Tests

, M.Sc. Thesis Sharif University of Technology Barisam Haghiri, Maryam (Author) ; Saeedi, Mohammad Saeed (Supervisor) ; Kashaninejad, Navid (Co-Supervisor) ; Trung Nguyen, Nam (Co-Supervisor)

Abstract

Cancer is one of the leading causes of death worldwide, and despite all the advances in medical science, there isn't any definitive cure for it, yet. Researchers have recently considered the presence of cancer stem cells with the capability of tumorigenesis, invasion, metastasis, self-renewal, etc. as the main cause of inefficiency of cancer treatment. It means current therapies are able to kill the tumor mass, but they are not successful in confront of cancer stem cells and this causes the disease to recur a while after the apparent recovery. To study these specific cells, in this project, first the population of cancer stem-like cells was increased in the cancer cell mass, in other words,...