Titlebook: Web and Big Data; APWeb-WAIM 2019 Inte Jingkuan Song,Xiaofeng Zhu Conference proceedings 2019 Springer Nature Switzerland AG 2019 artificia

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A Survey of Relation Extraction of Knowledge Graphsp navigation and so on. Constructing a knowledge graph includes ontology construction, annotated data, relation extraction, and ontology inspection. Relation extraction is to solve the problem of entity semantic linking, which is of great significance to many natural language processing applications

序曲

PEVR: Pose Estimation for Vehicle Re-Identificationion (Re-id) problem. We focus on pose estimation for vehicles, which is an important module of vehicle Re-id. Person Re-id received huge attention, while vehicle re-id was ignored, but recently the computer vision community have started focusing on this topic and have tried to solve this problem by

善變

acrophobia

The Research of Chinese Ethnical Face Recognition Based on Deep Learning more traditional machine learning techniques have been recently superseded by them. In a multi-ethnic country like China, the study for Chinese ethnical face recognition (CEFR) has practical demands and applications. In this paper, we provide a brief of popular face recognition procedure based on d

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環(huán)形

Model of Charging Stations Construction and Electric Vehicles Development Predictionthe construction of charging stations and electric vehicles market penetration. First, through the relationship between charging stations and gas stations quantitatively in America, we evaluate 501,474 charging stations will be built in 2060, among which there is 334,316 supercharging stations and 1

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Boundary Detector Encoder and Decoder with Soft Attention for Video Captioning has developed rapidly. Based on classical encoder-decoder approach, we modify the encoding networks and decoding networks to improve the performance of the entire networks. In this paper, we introduce an encoding scheme that can detect the hierarchical structure of the input video. What’s more, we

鈍劍

Boundary Detector Encoder and Decoder with Soft Attention for Video Captioning has developed rapidly. Based on classical encoder-decoder approach, we modify the encoding networks and decoding networks to improve the performance of the entire networks. In this paper, we introduce an encoding scheme that can detect the hierarchical structure of the input video. What’s more, we

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