A novel, to our knowledge, method of distortion-invariant three-dimensional (3-D) pattern recognition is proposed. A single two-dimensional synthetic discriminant function is employed as a reference function in the 3-D correlator. Thus the proposed system is able to identify and locate any true-class object in the 3-D scene. Preliminary simulation and experimental results are presented.

In this paper, we are presenting a new approach for gender & age determination based on image mining with C means clustering. Image Mining is an area which is used for pattern recognition & other application.

We examine sequential spatial pattern formation in a tissue interaction model for skin organ morphogenesis. Pattern formation occurs as a front sweeps across the domain leaving in its wake a steady state spatial pattern. Extensive numerical simulations show that these fronts travel with constant wave speed. By considering the envelope of the solution profile we present a novel method of calcula...

Background: Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and micro-architectural deterioration of bone tissue, leading to bone fragility and increased fracture risk. Since Panoramic image is a feasible and relatively routine imaging technique in dentistry; it could provide an opportunistic chance for screening osteoporosis. In this regard, numerous...

During Ramadan fasting quantity and quality of dietary intake may change. There was no data on nutrient patterns in Ramadan fasting. The purpose of this study was to identify Ramadan major nutrient patterns among those who fast in Tehran, Iran. 510 fasting people aged 18-65 years and BMI 18.5-40 Kg/m2 were recruited in our study by 2-stage cluster sampling method in June-July 2014. Data on the ...

Morphometric methods have been used in diatom research for decades. We present a review of the history of usage of morphometric methods of outline shape analysis, pattern recognition, and landmarkbased analysis. In addition, we present how morphometric methods are important in diatom taxonomy and classifi cation and what connections exist between morphometric methods and biologically meaningful...

Several researchers have experimentally shown that substantial improvements can be obtained in diicult pattern recognition problems by combining or integrating the outputs of multiple classiiers. This paper provides an analytical framework to quantify the improvements in classiication results due to combining. The results apply to both linear combiners and the order statistics combiners introdu...

Learning styles are incorporated more and more in e-education, mostly in order to provide adaptivity with respect to the learning styles of students. For identifying learning styles, at the present time questionnaires are widely used. While such questionnaires exist for most learning style models, their validity and reliability is an important issue and has to be investigated to guarantee that ...

Design pattern instance recognition is often done by static analysis, thus approaches are limited to the recognition of static parts of design patterns. The dynamic behavior of patterns is disregarded and leads to lots of false positives during recognition. This paper presents an approach to combine the advantages of static and dynamic analyses to overcome this problem and improve the design pa...