-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsoftwares.html
110 lines (110 loc) · 8.24 KB
/
softwares.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="Lucas Valem">
<meta name="keywords" content="Lucas Pascotti Valem,Lucas Valem,Lucas Pascotti,Research,UNESP,FAPESP">
<meta name="Description" content="Author: Lucas Pascotti Valem">
<script src="js/jquery-latest.js" type="text/javascript"></script>
<script src="js/bootstrap.min.js" type="text/javascript"></script>
<link rel="stylesheet" href="css/bootstrap.css">
<link rel="stylesheet" href="css/custom.css">
<script type="application/ld+json">
{
"@context": "http://schema.org/",
"@type": "SoftwareApplication",
"name": "Unsupervised Distance Learning Framework",
"alternateName": "UDLF",
"author": "Lucas Pascotti Valem and Daniel Carlos Guimarães Pedronette",
"applicationCategory": "Scientific Research, Information Retrieval, CBIR, Re-Ranking",
"operatingSystem": "Windows, GNU/Linux, MacOS, and others",
"publication": {
"@type": "PublicationEvent",
"name": "An Unsupervised Distance Learning Framework for Multimedia Retrieval",
"description": "In: ACM International Conference on Multimedia Retrieval (ICMR), 2017, Bucharest - Romania",
"url": "http://lucasvalem.com/content/papers/conferences/ICMR-2017_UDLF.pdf"
},
"url": "http://www.ic.unicamp.br/~dcarlos/UDLF",
"downloadUrl": "http://www.ic.unicamp.br/~dcarlos/UDLF/releases.html"
}
</script>
<title>Softwares - Lucas Pascotti Valem</title>
</head>
<body>
<div style="text-align:center">
<h3><b>LUCAS PASCOTTI VALEM</b></h3>
Assistant Professor at the University of São Paulo - SCC / ICMC / USP
</div>
<br>
<div id='cssmenu'>
<ul>
<li><a href='index'><span><img src="icons/home.png" alt=""> Home</span></a></li>
<li class='last'><a href='publications'><span><img src="icons/publications.png" alt=""> Publications</span></a></li>
<li class='last'><a href='projects'><span><img src="icons/projects.png" alt=""> Projects</span></a></li>
<li class='last'><a href='softwares'><span><img src="icons/softwares.png" alt=""> Softwares</span></a></li>
<li class='last'><a href='awards'><span><img src="icons/awards.png" alt=""> Awards</span></a></li>
<li class='last'><a href='curriculum'><span><img src="icons/curriculum.png" alt=""> Curriculum</span></a></li>
<li class='last'><a href='contact'><span><img src="icons/contact.png" alt=""> Contact</span></a></li>
<li class='last'><a href='softwares_pt'><span><img src="icons/brazil.png" alt=""></span></a></li>
<li class='last'><a href='softwares'><span><img src="icons/usa.png" alt=""></span></a></li>
</ul>
</div>
<div style="width: 95%; overflow: hidden; margin-left: 25px;">
<h3><b>Softwares</b></h3>
<ul>
<li>
<h4><b>Weakly Supervised Experiments Framework (WSEF)</b></h4>
The WSEF is an open source software developed and maintained by our research team.
The framework uses a rank-based model to exploit contextual information encoded in the unlabeled data in order to perform label expansion and execute a weakly supervised classification.
For more information, consult the code page and our paper.
<br><br>
<p>PRESOTTO, J. G. C.; <b>VALEM, L. P.</b>; de SÁ, N. G.; PEDRONETTE, D. C. G.; PAPA, J. P. . Weakly Supervised Learning through Rank-based Contextual Measures. In: 2020 25th International Conference on Pattern Recognition (<b>ICPR</b>), 2021, pp. 5752-5759.
<div style="padding-top: 5px">
<a href="content/papers/conferences/ICPR-2020.pdf" target="_blank" class="btn btn-primary btn-sm"><b>Pre-Print PDF</b></a>
<a href="https://doi.org/10.1109/ICPR48806.2021.9412596" target="_blank" class="btn btn-primary btn-sm"><b>Online Publication</b></a>
<a href="https://ailb-web.ing.unimore.it/icpr/author/957" target="_blank" class="btn btn-primary btn-sm"><b>Paper Presentation</b></a>
<a href="content/papers/conferences/ICPR-2020.bib" target="_blank" class="btn btn-warning btn-sm"><b>Bibtex</b></a>
<a href="https://github.com/UDLF/WSEF/" target="_blank" class="btn btn-success btn-sm"><b>Download Code</b></a>
</div>
</li>
<br>
<li>
<h4><b>Unsupervised Selective Rank Fusion (USRF)</b></h4>
The USRF is an open source software developed and maintained by me under the supervision of Prof. Dr. Daniel C. G. Pedronette. A framework for ranked lists selection and fusion, completely unsupervised. For more information, consult the code page and our paper.
<br><br>
<p><b>VALEM, L. P.</b> ; PEDRONETTE, D. C. G. . Unsupervised Selective Rank Fusion for Image Retrieval Tasks. In: <b>Neurocomputing</b>; v. 377, p. 182-199, 2019.
<div style="padding-top: 5px">
<a href="content/papers/journals/paperUSRF.pdf" target="_blank" class="btn btn-primary btn-sm"><b>Pre-Print PDF</b></a>
<a href="https://doi.org/10.1016/j.neucom.2019.09.065" target="_blank" class="btn btn-primary btn-sm"><b>Online Publication</b></a>
<a href="content/papers/journals/paperUSRF.bib" target="_blank" class="btn btn-warning btn-sm"><b>Bibtex</b></a>
<a href="https://github.com/UDLF/USRF/" target="_blank" class="btn btn-success btn-sm"><b>Download Code</b></a>
</div>
</li>
<br>
<li>
<h4><b>Unsupervised Distance Learning Framework (UDLF)</b></h4>
The UDLF is an open source software developed and maintained by me under the supervision of Prof. Dr. Daniel C. G. Pedronette. The software currently consists in the implementation of 10 different unsupervised learning methods for image retrieval. You can consult my publication and the official page for more information.
<br><br>
<b>VALEM, L. P.</b> ; PEDRONETTE, D. C. G. . An Unsupervised Distance Learning Framework for Multimedia Retrieval. In: International Conference on Multimedia Retrieval (<b>ICMR</b>), 2017.
<div style="padding-top: 5px">
<a href="content/papers/conferences/ICMR-2017_UDLF.pdf" target="_blank" class="btn btn-primary btn-sm"><b>Pre-Print PDF</b></a>
<a href="https://dl.acm.org/citation.cfm?doid=3078971.3079017" target="_blank" class="btn btn-primary btn-sm"><b>Online Publication</b></a>
<a href="content/papers/conferences/ICMR-2017_UDLF.bib" target="_blank" class="btn btn-warning btn-sm"><b>Bibtex</b></a>
<a href="http://www.ic.unicamp.br/~dcarlos/UDLF/index.html" target="_blank" class="btn btn-success btn-sm"><b>UDLF Official Page</b></a>
<a href="https://github.com/UDLF" target="_blank" class="btn btn-success btn-sm"><b>UDLF on Github</b></a>
</div>
<div style="padding-top: 15px">
<img src="pics/oxford17flowers.jpg" alt="Example of Ranked List" style="padding-bottom: 5px">
<img src="pics/corel5k.jpg" alt="Example of Ranked List" style="padding-bottom: 5px">
</div>
</li>
</ul>
</div>
<hr>
<div style="text-align:center">
© Copyright 2025, Lucas Pascotti Valem.
</div>
</body>
</html>