Search Results - "Yazdi, Hadi"

Multi-Target State Estimation Using Interactive Kalman Filter for Multi-Vehicle Tracking by Baradaran Khalkhali, Maryam, Vahedian, Abedin, Sadoghi Yazdi, Hadi

“…In this paper, an interactive Kalman filter (IKF) is proposed to demonstrate the interaction between targets as to how the behavior of a desired target is…”
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A distributed learning based on robust diffusion SGD over adaptive networks with noisy output data by Barani, Fatemeh, Savadi, Abdorreza, Sadoghi Yazdi, Hadi

“…Outliers and noises are unavoidable factors that cause performance of the distributed learning algorithms to be severely reduced. Developing a robust algorithm…”
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IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering by Hamidzadeh, Javad, Monsefi, Reza, Sadoghi Yazdi, Hadi

“…In instance-based classifiers, there is a need for storing a large number of samples as training set. In this work, we propose an instance reduction method…”
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Ensemble of online neural networks for non-stationary and imbalanced data streams by Ghazikhani, Adel, Monsefi, Reza, Sadoghi Yazdi, Hadi

“…Concept drift (non-stationarity) and class imbalance are two important challenges for supervised classifiers. “Concept drift” (or non-stationarity) refers to…”
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Image annotation based on multi-view robust spectral clustering by Zamiri, Mona, Sadoghi Yazdi, Hadi

“…•We propose a new multi-view robust image annotation model.•A new feature-level fusion method is proposed to learn the fusion similarity matrix.•A robust…”
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Universal Approximation by Using the Correntropy Objective Function by Nayyeri, Mojtaba, Sadoghi Yazdi, Hadi, Maskooki, Alaleh, Rouhani, Modjtaba

“…Several objective functions have been proposed in the literature to adjust the input parameters of a node in constructive networks. Furthermore, many…”
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Semantic labeling of social big media using distributed online robust classification by Naeimi Sadigh, Alireza, Bahraini, Tahereh, Sadoghi Yazdi, Hadi

“…Semantic labeling for image datasets is of significant importance in a wide range of social media. However, social datasets with massive amounts of data…”
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Diversity-based diffusion robust RLS using adaptive forgetting factor by Naeimi Sadigh, Alireza, Sadoghi Yazdi, Hadi, Harati, Ahad

“…•A diffusion robust RLS (D-R2LS) algorithm is proposed on the distributed estimation problem.•A diversity-based D-R2LS (DBD- R2LS) is developed by adaptive…”
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Vehicle tracking with Kalman filter using online situation assessment by Baradaran Khalkhali, Maryam, Vahedian, Abedin, Sadoghi Yazdi, Hadi

“…Vehicle tracking is an attractive problem in the field of public transportation with several research projects conducted using Kalman filter (KF) to tackle…”
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Predicting resprouting of Platanus × hispanica following branch pruning by means of machine learning by Shu, Qiguan, Yazdi, Hadi, Rötzer, Thomas, Ludwig, Ferdinand

“…Resprouting is a crucial survival strategy following the loss of branches, being it by natural events or artificially by pruning. The resprouting prediction on…”
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Percutaneous Sclerotherapy with Bleomycin and Ethiodized Oil: A Promising Treatment in Symptomatic Giant Liver Hemangioma by Ayoobi Yazdi, Niloofar, Mehrabinejad, Mohammad-Mehdi, Dashti, Habibollah, Pourghorban, Ramin, Nassiri Toosi, Mohssen, Rokni Yazdi, Hadi

“…Background Percutaneous sclerotherapy with bleomycin has been proven to have a potential benefit in the management of low-flow venous malformations. Liver…”
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Analysis of robust recursive least squares: Convergence and tracking by Naeimi Sadigh, Alireza, Taherinia, Amir Hossein, Sadoghi Yazdi, Hadi

“…•This study proposes a robust method for recursive least squares.•Convergence and performance are analyzed in both the stationary and non-stationary…”
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Minimum variance based-Bayes Combination for prediction of soil properties on Vis-NIR reflectance spectroscopy by Tarnik, Milad Ghobadi, Ghafari, Sepehr, Bahraini, Tahereh, Sadoghi Yazdi, Hadi

“…Traditional laboratory methods for determining soil properties require a great deal of time and expense, while reflectance spectroscopy technology is a fast,…”
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Sparsity‐aware support vector data description reinforced by expectation maximization by Eghdami, Mahdie, Sadoghi Yazdi, Hadi, Salehi, Neshat

“…Support vector data description (SVDD) characterizes a dataset by a spherically shaped boundary around it. Since the complexity of SVDD training is O(N3), its…”
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Robustness of convolutional neural network models in hyperspectral noisy datasets with loss functions by Ghafari, Sepehr, Ghobadi Tarnik, Milad, Sadoghi Yazdi, Hadi

“…The presence of noise in images affects the classification performance of convolutional neural networks (CNNs). The loss function plays an important role in…”
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Percutaneous Sclerotherapy for Budd-Chiari Syndrome Secondary to Giant Hepatic Venous Malformations (Hemangiomas) by Ayoobi Yazdi, Niloofar, Pourghorban, Ramin, Mehrabi Nejad, Mohammad-Mehdi, Salahshour, Faeze, Jafarian, Ali, Rokni Yazdi, Hadi

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Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams by Ghazikhani, Adel, Monsefi, Reza, Sadoghi Yazdi, Hadi

“…Classifying non-stationary and imbalanced data streams encompasses two important challenges, namely concept drift and class imbalance. Concept drift is changes…”
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Online neural network model for non-stationary and imbalanced data stream classification by Ghazikhani, Adel, Monsefi, Reza, Sadoghi Yazdi, Hadi

“…“Concept drift” and class imbalance are two challenges for supervised classifiers. “Concept drift” (or non-stationarity) is changes in the underlying function…”
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Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework by Azimpour, Peyman, Bahraini, Tahereh, Yazdi, Hadi Sadoghi

“…The hyperspectral-image (HSI) noise-reduction step is a very significant preprocessing phase of data-quality enhancement. It has been attracting immense…”
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Crowd analysis using Bayesian Risk Kernel Density Estimation by Razavi, Mahnaz, Sadoghi Yazdi, Hadi, Taherinia, Amir Hossein

“…Crowd behavior analysis is one of the significant issues in video surveillance. In this paper while having a video sequence of a public place, the goal is to…”
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