Search Results for author: Mohsen Kheirandishfard

Found 7 papers, 3 papers with code

Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part II: Theoretical & Computational Results

no code implementations7 Aug 2022 Ramtin Madani, Mersedeh Ashraphijuo, Mohsen Kheirandishfard, Alper Atamturk

In the first part of this work [32], we introduce a convex parabolic relaxation for quadratically-constrained quadratic programs, along with a sequential penalized parabolic relaxation algorithm to recover near-optimal feasible solutions.

Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part I: Definitions & Basic Properties

no code implementations7 Aug 2022 Ramtin Madani, Mersedeh Ashraphijuo, Mohsen Kheirandishfard, Alper Atamturk

For general quadratically-constrained quadratic programming (QCQP), we propose a parabolic relaxation described with convex quadratic constraints.

Deep Low-Rank Subspace Clustering

1 code implementation18 Jun 2020 Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar

This paper is concerned with developing a novel approach to tackle the problem of subspace clustering.

Clustering

Class Conditional Alignment for Partial Domain Adaptation

no code implementations14 Mar 2020 Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar

Partial domain adaptation (PDA) investigates the scenarios in which the source domain is large and diverse, and the target label space is a subset of the source label space.

Partial Domain Adaptation Transfer Learning

Multi-Level Representation Learning for Deep Subspace Clustering

1 code implementation19 Jan 2020 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 subspaces.

Clustering Representation Learning

Image Segmentation using Sparse Subset Selection

1 code implementation8 Apr 2018 Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar

Then, the superpixel features are fed into a novel convex model which efficiently leverages the features to group the superpixels into a proper number of coherent regions.

Image Segmentation Segmentation +2

Natural Scene Image Segmentation Based on Multi-Layer Feature Extraction

no code implementations24 May 2016 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 properties of the local neighborhoods in an image.

Image Segmentation Segmentation +1

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