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journal.html
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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- 上述3个meta标签*必须*放在最前面，任何其他内容都*必须*跟随其后！ -->
<script src="js/d3.min.js"></script>
<title>Ace Vision</title>
<!-- Bootstrap -->
<link href="./css/bootstrap.css" type="text/css" rel="stylesheet">
<link rel="stylesheet" href="./css/acevision.css" type="text/css">
<!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
<!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
<!--[if lt IE 9]>
<script src="//cdn.bootcss.com/html5shiv/3.7.2/html5shiv.min.js"></script>
<script src="//cdn.bootcss.com/respond.js/1.4.2/respond.min.js"></script>
<![endif]-->
<!-- bubble -->
<link href='http://fonts.googleapis.com/css?family=Source+Sans+Pro:200,600,200italic,600italic&subset=latin,vietnamese' rel='stylesheet' type='text/css'>
<script src="http://phuonghuynh.github.io/js/bower_components/jquery/dist/jquery.min.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/d3/d3.min.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/d3-transform/src/d3-transform.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/cafej/src/extarray.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/cafej/src/misc.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/cafej/src/micro-observer.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/microplugin/src/microplugin.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/bubble-chart/src/bubble-chart.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/bubble-chart/src/plugins/central-click/central-click.js"></script>
<script src="http://phuonghuynh.github.io/js/bower_components/bubble-chart/src/plugins/lines/lines.js"></script>
<!-- <script src="index.js"></script> -->
<style>
.bubbleChart {
min-width: 100px;
max-width: 400px;
height: 700px;
margin: 0 auto;
}
.bubbleChart svg{
background: #FFFFFF;
}
</style>
</head>
<body>
<nav class="navbar navbar-default" role="navigation" style="padding:0 0">
<div class="container-fluid bg-success" style="padding:0 10%">
<div class="navbar-header" >
<a class="navbar-brand" href="#">Ace Vision</a>
</div>
<div >
<ul class="nav navbar-nav" style="float:right">
<!-- <li class="active"><a href="#">iOS</a></li> -->
<li><a href="#">Sign In</a></li>
</ul>
</div>
</div>
</nav>
<div class="search-body">
<div class="field-intro">
<div class="field-title">
<h1>
<p class="text-muted" id="mainname"></p>
<script type="text/javascript">
field_name=document.getElementById('mainname').innerHTML;
</script>
</h1>
</div>
<script src="./js/getapi.js" type="text/javascript"></script>
<script>
var json1;
var paper=[];
var year=[],field=[],author=[],affiliation=[],journal=[],conference=[];
var sarray=[];
window.onload=myonload(3);
</script>
<div class="field-info">
<p class="text-muted" style="text-align:justify">
<script type="text/javascript">
if (field_name=="Machine Learning") {
document.write("Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a \"Field of study that gives computers the ability to learn without being explicitly programmed\". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.")
}
else if (field_name=="Data Mining") {
document.write("Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. Data mining is the analysis step of the \"knowledge discovery in databases\" process, or KDD.")
}
else {
document.write("Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. Understanding in this context means the transformation of visual images (the input of retina) into descriptions of world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.")
}
</script>
</p>
</div>
</div>
<hr style="height:2px">
<div class="field-author">
<div class="figure-left" style="width:30%;margin:0 auto;float:left">
<div class="figure-title">
<h1><p class="text-muted">
Author
</p></h1>
</div>
<div class="figure-list">
<table style="margin-top:30px" class="table table-hover">
<th>Rank</th>
<th>Name</th>
<th>Citations</th>
<script type="text/javascript">
sum=0;
a=[];
b=[];
for (var au in author){
sum++;
a[sum]=au;
b[sum]=author[au].Gindex;
}
//alert(sum);
for(i=1;i<=sum;i++)
for(j=i+1;j<=sum;j++) {
if(b[i]<b[j]) {
t=a[i];a[i]=a[j];a[j]=t;
t1=b[i];b[i]=b[j];b[j]=t1;
}
}
var af_au = new Array(10);
for (i=1;i<=10;i++) {
af_au[i-1]=new Object();
af_au[i-1].name = a[i];
af_au[i-1].citation = b[i];
document.write("<tr><td>");
document.write(i);
document.write("</td><td>");
document.write(af_au[i-1].name);
document.write("</td><td>");
document.write(af_au[i-1].citation);
document.write("</td></tr>");
}
</script>
</table>
</div>
</div>
<div class="figure-right" style="width:60%;margin:0 auto;position:fixed;top:0;">
<frame>
<script type="text/javascript" src="js/bubble.js"></script>
</frame>
<!-- -->
</div>
</div>
<!-- <hr style="height:2px"> -->
<!-- search body -->
</div>
<hr>
<div class="search-body" style="width:80%;margin:0 auto">
<div class="field-affiliation">
<div class="figure-left" style="width:30%;margin:0 auto;float:left">
<div class="figure-title">
<h1><p class="text-muted">
Affiliation
</p></h1>
</div>
<div class="figure-list">
<table style="margin-top:30px;" class="table table-hover">
<th>Rank</th>
<th>Name</th>
<th>Citations</th>
<script type="text/javascript">
sum=0;
a=[];
b=[];
for (var au in affiliation){
sum++;
a[sum]=au;
b[sum]=affiliation[au].Gindex;
if(au==undefined)sum--;
}
//alert(sum);
for(i=1;i<=sum;i++)
for(j=i+1;j<=sum;j++) {
if(b[i]<b[j]) {
t=a[i];a[i]=a[j];a[j]=t;
t1=b[i];b[i]=b[j];b[j]=t1;
}
}
var af_au = new Array(10);
for (i=1;i<=10;i++) {
af_au[i-1]=new Object();
af_au[i-1].name = a[i];
af_au[i-1].citation = b[i];
document.write("<tr><td>");
document.write(i);
document.write("</td><td>");
document.write(af_au[i-1].name);
document.write("</td><td>");
document.write(af_au[i-1].citation);
document.write("</td></tr>");
}
</script>
</table>
</div>
</div>
<div class="figure-right" style="width:60%;margin:0 auto">
<div class="bubbleChart" style=""/>
</div>
</div>
</div>
<!-- jQuery (necessary for Bootstrap's JavaScript plugins) -->
<!-- <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js" type="text/javascript"></script> -->
<!-- Include all compiled plugins (below), or include individual files as needed -->
<script src="./js/bootstrap.js" type="text/javascript"></script>
<script>
figure_af = new Array(10);
var i = 0;
for (af in affiliation){
i++;
figure_af[i-1] = new Object();
figure_af[i-1].arg1 = af;
figure_af[i-1].arg2 = affiliation[af].Gindex;
if(i==10)break;
}
</script>
<script>
$(document).ready(function () {
var bubbleChart = new d3.svg.BubbleChart({
supportResponsive: true,
//container: => use @default
size: 600,
//viewBoxSize: => use @default
innerRadius: 600 / 3.5,
//outerRadius: => use @default
radiusMin: 50,
//radiusMax: use @default
//intersectDelta: use @default
//intersectInc: use @default
//circleColor: use @default
data: {
items: [
{text: figure_af[0].arg1, count: figure_af[0].arg2},
{text: figure_af[1].arg1, count: figure_af[1].arg2},
{text: figure_af[2].arg1, count: figure_af[2].arg2},
{text: figure_af[3].arg1, count: figure_af[3].arg2},
{text: figure_af[4].arg1, count: figure_af[4].arg2},
{text: figure_af[5].arg1, count: figure_af[5].arg2},
{text: figure_af[6].arg1, count: figure_af[6].arg2},
{text: figure_af[7].arg1, count: figure_af[7].arg2},
{text: figure_af[8].arg1, count: figure_af[8].arg2}
// {text: figure_af[9].arg1, count: figure_af[9].arg2}
],
eval: function (item) {return item.count;},
classed: function (item) {return item.text.split(" ").join("");}
},
plugins: [
{
name: "central-click",
options: {
text: "(See more detail)",
style: {
"font-size": "12px",
"font-style": "italic",
"font-family": "Source Sans Pro, sans-serif",
//"font-weight": "700",
"text-anchor": "middle",
"fill": "white"
},
attr: {dy: "65px"},
centralClick: function() {
// alert("Here is more details!!");
}
}
},
{
name: "lines",
options: {
format: [
{// Line #0
textField: "count",
classed: {count: true},
style: {
"font-size": "28px",
"font-family": "Source Sans Pro, sans-serif",
"text-anchor": "middle",
fill: "white"
},
attr: {
dy: "0px",
x: function (d) {return d.cx;},
y: function (d) {return d.cy;}
}
},
{// Line #1
textField: "text",
classed: {text: true},
style: {
"font-size": "14px",
"font-family": "Source Sans Pro, sans-serif",
"text-anchor": "middle",
fill: "white"
},
attr: {
dy: "20px",
x: function (d) {return d.cx;},
y: function (d) {return d.cy;}
}
}
],
centralFormat: [
{// Line #0
style: {"font-size": "50px"},
attr: {}
},
{// Line #1
style: {"font-size": "30px"},
attr: {dy: "40px"}
}
]
}
}]
});
});
</script>
</body>
</html>