In this note we introduce a new randomized algorithm for counting triangles in graphs. We show that under mild conditions, the estimate of our algorithm is strongly concentrated around the true number of triangles. Specifically, if p ≥ max ( log n t , log n √ t ), where n, t, ∆ denote the number of vertices in G, the number of triangles in G, the maximum number of triangles an edge of G is cont...

The biped robots have higher mobility than conventional wheeled robots, especially when moving on rough terrains, up and down slopes and in environments with obstacles. The geometry of the biped robot is similar to the human beings, so it is easy to adapt to the human life environment and can help the human beings to finish the complex work. With the development of the society, the needs for ro...

Objective: The aim of this study was to compare the experiential avoidance, explicit and implicit attraction beliefs in obese and normal body mass index (BMI) females. Materials and Methods: This was an analytic cross sectional study. About 400 females (between 20-43 years old) were selected from nutrition and obesity clinics by convenience sampling method. The 40 items avoidance questionnaire...

This document is divided into three sections. Section 2 adds some clarifications regarding filtering grayscale images from the dataset, along with additional details about the network architecture. Section 3 contains a discussion of our algorithm in comparison to Cheng et al. [1]. Section 4 contains a more detailed explanation of the VGG category analysis presented in Section 4.1 and Figure 8 o...

the objective of this study is evaluation of topographic wetness index (twi) using attraction model in northern of fars province. the first attraction model was used to enhance the spatial resolution of digital elevation model (dem). in this research to estimate of value of sub-pixels neighboring pixels, touching and quadrant neighboring models were used. after manufacturing output images for s...

A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful categories. However, research in data mining has not paid attention to the cognitive factors that make learned categories intelligible to human users. We show that one factor that influences the intelligibility of lear...