Faraein Aeini

Faraein Aeini
Sari Islamic Azad University · Department of computer engineering

PhD

About

15
Publications
1,457
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44
Citations

Publications

Publications (15)
Article
Full-text available
In this paper, we consider the issue of automatic and unsupervised class-manifold selection in a multi-view multi-manifold space. General multi-manifold learning methods achieve multiple independent manifolds, so it is challenging for them to adjust the intra-class local manifold information and global inter-class discriminative structure. In this...
Article
In this paper, we propose a regularized point-to-manifold distance metric to measure the distance between the unknown query object and object-specific manifolds for the task multi-view multi-manifold learning. Our metric determine the class of query object based on the class of objects that have smallest average geodesic distance from it. To do thi...
Article
Full-text available
In this paper, we combined two steps in a new multi-view multi-manifold learning algorithm that are essential for recognition tasks in the absence of class label information; first, we emphasize the first step of graph-based multi-view multi-manifold learning methods, i.e., select class-consistent neighbors from all available views. In multi-manifo...
Article
Forensic dentistry is the subdivision of forensics that determines the identity of the victim based on dental features. In this paper, we propose a framework for human identification based on dental. The proposed framework consists of two main stages: the first stage is teeth classification and numbering, and the second stage is human recognition....
Article
Full-text available
In this paper, we focus on the fundamental problem of efficiently selecting uniform class-consistent neighbors from all available views for graph-based multi-view multi-manifold learning methods in an unsupervised manner. We define each class of objects with continuous varying of pose angle as a relatively independent object manifold. The ideal nei...
Article
Full-text available
Neighborhood graph construction plays a vital role in the success of the manifold learning. This paper introduces a supervised hierarchical neighborhood graph construction method for manifold learning. The goal of our method is to discriminate among profoundly close data points with different classes. Our proposed method includes two main phases. T...
Article
Due to teeth robustness, uniqueness and availability of medical records, today a new branch of research for human identification is ongoing based on dental radiograph images. This method of identification has particular importance especially in events such as wars, fires, tsunamis and other similar events with other biometrics features heavily dama...
Article
Full-text available
با توجه به مقاوم بودن، منحصر به فرد بودن و در دسترس بودن سوابق پزشکی دندان‏ها امروزه شاخه‏ی جدیدی از پژوهش‏ها برای تشخیص هویت افراد بر اساس تصاویر رادیوگرافی دندان‏ها در دست انجام است. این شیوه تشخیص هویت در حوادثی نظیر جنگ، آتش‏سوزی، سونامی و غیره که سایر ویژگی‏های بایومتریک به شدت آسیب می‏بینند از اهمیت ویژه‏ای برخوردار می‏شود. بدین منظور در این...
Conference Paper
In this paper, we proposed a novel supervised method to construct 'neighborhood graph', which is often constructed in recent non-linear dimensional reduction techniques. The key ideas in our proposed method is introducing a new distance criterion based on weighted Euclidean distance between data points, which use class label information of data poi...
Article
Full-text available
The purpose of forensic dentistry is to identify individuals based on their dental characteristics. In this paper, a methodology to classify and assign numbers to teeth in bitewing dental images is presented. The goal is to using the result of this methodology in an automated dental identification system. In this way, proposed approach benefits of...
Article
Information extraction of the images and videos has been done in pixel domain by the traditional methods. But nowadays, great majority of pictures and video are available in compressed form with compression based on block DCT transform. In this paper, we proposed a method based on the DCT blocks for retrieve compressed images. By working on wei-feb...