9 citations · 13 across the 9 of their papers we have counts for
12 papers
An Exact Finite-dimensional Explicit Feature Map for Kernel Functions
Kamaledin Ghiasi-Shirazi, Mohammadreza Qaraei
Kernel methods in machine learning use a kernel function that takes two data points as input and returns their inner product after mapping them to a Hilbert space, implicitly and w…
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…
On translating conditional statements into mathematical logic
Kamaledin Ghiasi-Shirazi
In this paper, we highlight a profound difference between conditional statements in mathematical logic and natural languages. This difference exists even when the conditional state…
PowerLinear Activation Functions with application to the first layer of CNNs
Kamyar Nasiri, Kamaledin Ghiasi-Shirazi
Convolutional neural networks (CNNs) have become the state-of-the-art tool for dealing with unsolved problems in computer vision and image processing. Since the convolution operato…
Neural Generalization of Multiple Kernel Learning
Ahmad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi +1
Multiple Kernel Learning is a conventional way to learn the kernel function in kernel-based methods. MKL algorithms enhance the performance of kernel methods. However, these method…
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…