Update summarization is an emerging summarization task of creating a short summary of a set of news articles, under the assumption that the user has already read a given set of earlier articles. In this paper, we propose a new co-ranking method to address the update summarization task. The proposed method integrates two co-ranking processes by adding strict constraints. In comparison with the o...

We study the issue of convergence of user rates and resource prices under a family of rate controlschemes called dual algorithms with arbitrary communication delays. We first consider a case where asingle resource is shared by many users. Then, we study a general network shared by heterogeneoususers and derive sufficient conditions for convergence. We show that in the case of a ...

ions ( other country GW  ) were downscaled to grid level ( other cell GW  ) based on proportion of each cell water use in other sector ( MAgPIE Other WU  ) to country total water use in other sectors (( MAgPIE Other WU  )Country) as obtained from the MAgPIE model results. In the final step, downscaled grid level groundwater abstractions for agriculture and other sectors were addded to get t...

WU, XINYING, M.S., August 2014, Industrial and Systems Engineering Heuristics for Multi-type Component Assignment Problems through the Birnbaum

Predicting the interestingness of images or videos can greatly improve people’s satisfaction in many applications, such as video retrieval and recommendations. In this paper, we present our methods in the 2017 Predicting Media Interestingness Task. We propose deep ranking model based on aural and visual modalities which simulates the human annotation procedures for more reliable interestingness...

The reaction process A + B → ∅ is modelled for ballistic reactants on an infinite line with particle velocities vA = c and vB = −c and initially segregated conditions, i.e. all A particles to the left and all B particles to the right of the origin. Previous models of ballistic annihilation have particles that always react on contact, i.e. pair-reaction probability p = 1. The evolution of such s...

Jin-Feng ZHONG, Xiao-Qing ZHANG, Wei-Gao WU, Wei TU, Zhen-Xiang LIU, Re-Jun FANG* College of Animal Science and Technology, Hunan Agricultural University, Changsha, P.R. China Hunan Co-Innovation Center of Animal Production Safety, Changsha, P.R. China Hunan Polytechnic of Environment and Biology, Hengyang, P.R. China Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohho...

Flow cytometry is a well-established diagnostic tool for cell counting and characterization. It utilizes fluorescence and scattered excitation light simultaneously emitted from cells passing an excitation laser focus to discriminate various cell types and estimate cell size. Here, we apply the principle of spatially modulated emission (SME) to fluorescently stained SUP-B15 cells as a model syst...

This paper presents a deterministic and adaptive spike model derived from radial basis functions and a leaky integrate-andfire sampler developed for training spiking neural networks without direct weight manipulation. Several algorithms have been proposed for training spiking neural networks through biologically-plausible learning mechanisms, such as spike-timingdependent synaptic plasticity an...

Deep neural networks have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image and speech recognition. Training of large DNNs, however, is a computationally intensive task, and this necessitates the development of novel computing architectures targeting this application. A computational memory unit where...