8 papers
Class Conditional Alignment for Partial Domain Adaptation
Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar
Adversarial adaptation models have demonstrated significant progress towards transferring knowledge from a labeled source dataset to an unlabeled target dataset. Partial domain ada…
Multi-Level Representation Learning for Deep Subspace Clustering
Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar
This paper proposes a novel deep subspace clustering approach which uses convolutional autoencoders to transform input images into new representations lying on a union of linear su…
Convex Relaxation of Bilinear Matrix Inequalities Part II: Applications to Optimal Control Synthesis
Mohsen Kheirandishfard, Fariba Zohrizadeh, Muhammad Adil +1
The first part of this paper proposed a family of penalized convex relaxations for solving optimization problems with bilinear matrix inequality (BMI) constraints. In this part, we…
Convex Relaxation of Bilinear Matrix Inequalities Part I: Theoretical Results
Mohsen Kheirandishfard, Fariba Zohrizadeh, Ramtin Madani
This two-part paper is concerned with the problem of minimizing a linear objective function subject to a bilinear matrix inequality (BMI) constraint. In this part, we first conside…
Sequential Relaxation of Unit Commitment with AC Transmission Constraints
Fariba Zohrizadeh, Mohsen Kheirandishfard, Adnan Nasir +1
This paper proposes a sequential convex relaxation method for obtaining feasible and near-globally optimal solutions for unit commitment (UC) with AC transmission constraints. Firs…
Penalized Parabolic Relaxation for Optimal Power Flow Problem
Fariba Zohrizadeh, Mohsen Kheirandishfard, Edward Quarm +1
This paper is concerned with optimal power flow (OPF), which is the problem of optimizing the transmission of electricity in power systems. Our main contributions are as follows: (…
Image Segmentation using Sparse Subset Selection
Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar
In this paper, we present a new image segmentation method based on the concept of sparse subset selection. Starting with an over-segmentation, we adopt local spectral histogram fea…
Natural Scene Image Segmentation Based on Multi-Layer Feature Extraction
Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar
This paper addresses the problem of natural image segmentation by extracting information from a multi-layer array which is constructed based on color, gradient, and statistical pro…