Recently manifold learning algorithm for dimensionality reduction attracts more and more interests, and various linear and nonlinear, global and local algorithms are proposed. The key step of manifold learning algorithm is the neighboring region selection. However, so far for the references we know, few of which propose a generally accepted algorithm to well select the neighboring region. So in...

Like clustering analysis, community detection aims at assigning nodes in a network into different communities. Fdp is a recently proposed density-based clustering algorithm which does not need the number of clusters as prior input and the result is insensitive to its parameter. However, Fdp cannot be directly applied to community detection due to its inability to recognize the community centers...

Nasal cavity is an important component of respiration system for the various physiological functions (Elad et al., 2008; Lee, 2010). Due to its complicated geometry, flow patterns are difficult to visualize inside 3D spaces. By adopting the ISOMAP algorithm (Tenenbaum et al., 2000) implemented in Matlab, the surface of a nasal cavity, together with characteristic lines serving as visual markers...

صفحه‌­ی مینیاتوری LEU پرتودهی شده در رآکتور تحقیقاتی تهران که برای تولید رادیوایزوتوپ مولیبدن-99 استفاده می‌شود، منبع پرتوزایی متشکل از رادیوایزوتوپ‌های مختلف است. محاسبه و تخمین آهنگ دز تابش‌های گامای گسیلی این منبع، به منظور مقایسه با مقادیر مجاز توصیه حمل‌ونقل مواد پرتوزا حفاظت پرتویی کارکنان حین انجام تست‌های آزمایشگاهی داغ، پیش هر اقدام عملی، امری ضروری مقاله، اعتبار یک روش پیشنهادی جهت هد...

This paper departs from traditional calibration in the sense that the pixels forming the camera have a completely unknown topology. Previous works have shown that the statistical properties of natural scenes, and a uniform motion of a camera both in translation and rotation, allow determining the topology of a central camera [10, 6]. Here we show that there is a quasi-linear relationship betwee...

Human action recognition in computer vision has attracted strong research interest in recent years because of its promising applications. Automated detection of a person‘s atomic movements is called human action recognition. Diverse methods have been proposed for detecting the human action due to the dynamics in the underlying representation of human body. This paper provides a glance over the ...

In the paper methods aimed at handling high-dimensional weather forecasts data used to predict the concentrations of PM10, PM2.5, SO2, NO, CO and O3 are being proposed. The procedure employed to predict pollution normally requires historical data samples for a large number of points in time – particularly weather forecast data, actual weather data and pollution data. Likewise, it typically invo...

MOTIVATION Genome-wide gene expression measurements, as currently determined by the microarray technology, can be represented mathematically as points in a high-dimensional gene expression space. Genes interact with each other in regulatory networks, restricting the cellular gene expression profiles to a certain manifold, or surface, in gene expression space. To obtain knowledge about this mani...

When using coarse-resolution remote sensing images, super-resolution reconstruction is widely desired, and can be realized by reproducing the intrinsic features from a set of coarse-resolution fraction data to fine-resolution remote sensing images that are consistent with the coarse fraction information. Prior models of spatial structures that encode the expected features at the fine (target) r...