13 citations · 29 across the 5 of their papers we have counts for
7 papers
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati +1
In this paper, we propose a novel pooling layer for graph neural networks based on maximizing the mutual information between the pooled graph and the input graph. Since the maximum…
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning
Ali Atghaei, Soroush Ziaeinejad, Mohammad Rahmati
Abnormal event detection (AED) in urban surveillance videos has multiple challenges. Unlike other computer vision problems, the AED is not solely dependent on the content of frames…
Cross-domain recommender system using Generalized Canonical Correlation Analysis
Seyed Mohammad Hashemi, Mohammad Rahmati
Recommender systems provide personalized recommendations to the users from a large number of possible options in online stores. Matrix factorization is a well-known and accurate co…
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data
Maryam Abdolali, Mohammad Rahmati
In this paper, we consider the problem of subspace clustering in presence of contiguous noise, occlusion and disguise. We argue that self-expressive representation of data in curre…
Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs
Maryam Abdolali, Nicolas Gillis, Mohammad Rahmati
Sparse subspace clustering (SSC) is one of the current state-of-the-art methods for partitioning data points into the union of subspaces, with strong theoretical guarantees. Howeve…
An Efficient Evolutionary Based Method For Image Segmentation
Roohollah Aslanzadeh, Kazem Qazanfari, Mohammad Rahmati
The goal of this paper is to present a new efficient image segmentation method based on evolutionary computation which is a model inspired from human behavior. Based on this model,…