34 citations · 43 across the 4 of their papers we have counts for
6 papers
Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need
Mohammadreza Sharifi, Ahad Harati
Effective data curation is essential for optimizing neural network training. In this paper, we present the Guided Spectrally Tuned Data Selection (GSTDS) algorithm, which dynamical…
Deep multi-prototype capsule networks
Saeid Abbassi, Kamaledin Ghiasi-Shirazi, Ahad Harati
Capsule networks are a type of neural network that identify image parts and form the instantiation parameters of a whole hierarchically. The goal behind the network is to perform a…
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
Ramin Zarei Sabzevar, Kamaledin Ghiasi-Shirazi, Ahad Harati
Prototype-based learning (PbL) using a winner-take-all (WTA) network based on minimum Euclidean distance (ED-WTA) is an intuitive approach to multiclass classification. By construc…
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II
Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Ahad Harati +1
Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks. Although access to unauthorized persons can be…
Salient Object Detection in Video using Deep Non-Local Neural Networks
Mohammad Shokri, Ahad Harati, Kimya Taba
Detection of salient objects in image and video is of great importance in many computer vision applications. In spite of the fact that the state of the art in saliency detection fo…
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification
Amir Ahooye Atashin, Kamaledin Ghiasi-Shirazi, Ahad Harati
Many machine learning problems such as speech recognition, gesture recognition, and handwriting recognition are concerned with simultaneous segmentation and labeling of sequence da…