You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Attribute Learning for Understanding Unstructured Social Activity
|
---|---|
Chapter number | 38 |
Book title |
Computer Vision – ECCV 2012
|
Published in |
Lecture notes in computer science, January 2012
|
DOI | 10.1007/978-3-642-33765-9_38 |
Book ISBNs |
978-3-64-233764-2, 978-3-64-233765-9
|
Authors |
Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong |
Editors |
Andrew Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
France | 2 | 2% |
United Kingdom | 2 | 2% |
Japan | 1 | 1% |
Germany | 1 | 1% |
Unknown | 87 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 38% |
Student > Master | 12 | 13% |
Researcher | 11 | 11% |
Student > Bachelor | 7 | 7% |
Professor | 3 | 3% |
Other | 6 | 6% |
Unknown | 21 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 58% |
Engineering | 11 | 11% |
Social Sciences | 2 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Mathematics | 1 | 1% |
Other | 2 | 2% |
Unknown | 23 | 24% |