Search Results for author: Mohammad Ali Keyvanrad

Found 5 papers, 2 papers with code

Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics

1 code implementation31 Jan 2022 Zahra Soleimanitaleb, Mohammad Ali Keyvanrad

In this paper, different strategies of the following objects are inspected and a comprehensive classification is displayed that classified the following strategies into four fundamental categories of feature-based, segmentation-based, estimation-based, and learning-based methods that each of which has its claim sub-categories.

Object Tracking

Deep Belief Network Training Improvement Using Elite Samples Minimizing Free Energy

no code implementations14 Nov 2014 Mohammad Ali Keyvanrad, Mohammad Mehdi Homayounpour

Deep Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann Machines (RBM) to create a powerful generative model using training data.

General Classification

Deep Belief Networks for Image Denoising

no code implementations20 Dec 2013 Mohammad Ali Keyvanrad, Mohammad Pezeshki, Mohammad Ali Homayounpour

In this paper, we propose a novel method for image denoising which relies on the DBNs' ability in feature representation.

Image Denoising

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