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RISFeature Selection in Spectral Clustering
Spectral clustering is a powerful technique in clustering specially when the structure of
data is not linear and classical clustering methods lead to fail. In this paper, we propose a
spectral ...
Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity
The present study utilizes the social media data to sample from people's emotion in different places based on their facial expressions, for analyzing emotions distribution in a city and comparing the emotional similarity ...
Incorporating Nonparametric Knowledge to the Least Mean Square Adaptive Filter
In the framework of the maximum a posteriori estimation, the present study proposes the non-parametric probabilistic least mean square -NPLMS- adaptive filter for the estimation of an unknown parameter vector from noisy ...
Robust Diffusion LMS over Adaptive Networks
The present study proposes the Robust DLMS -RDLMS- algorithm for a robust estimation over adaptive networks. Instead of minimizing the mean square error -MSE-, the RDLMS algorithm is derived from minimizing the pseudo-Huber ...
Fuzzy-Bayesian Network Approach to Genre-based Recommender Systems
The World Wide Web has created a new media for mass marketing that can also be highly customized to online customers’ needs and expectations. Recommender Systems (RS) play an important role in this area. Here, we aim to ...
Edge/Corner Programming
Image processing operators; Constrained quadratic programming; Edge and corner detection.
On-line Voltage and Power Flow Contingencies Rankings Using Enhanced Radial Basis Function Neural Network and Kernel Principal Compnent Analysis
Timely and accurate assessment of voltage and power flow security is necessary to detect post-contingency problems in order to prevent a large-scale blackout. This article presents an enhanced radial basis function neural ...