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| Chapter title |
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
|
|---|---|
| Chapter number | 46 |
| Book title |
Computer Vision — ECCV 2002
|
| Published by |
Springer, Berlin, Heidelberg, May 2002
|
| DOI | 10.1007/3-540-47979-1_46 |
| Book ISBNs |
978-3-54-043748-2, 978-3-54-047979-6
|
| Authors |
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 6% |
| China | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Researcher | 4 | 22% |
| Professor > Associate Professor | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 56% |
| Engineering | 4 | 22% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 3 | 17% |