Academic Journal
OM-2: AN ONLINE MULTI-CLASS MULTI-KERNEL LEARNING ALGORITHM
| العنوان: | OM-2: AN ONLINE MULTI-CLASS MULTI-KERNEL LEARNING ALGORITHM |
|---|---|
| المؤلفون: | Jie Luo, Francesco Orabona, Marco Fornoni, Barbara Caputo, Nicolo Cesa-bianchi, Luo Jie, Nicolò Cesa-bianchi |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf. |
| سنة النشر: | 2010 |
| المجموعة: | CiteSeerX |
| الوصف: | Efficient learning from massive amounts of information is a hot topic in computer vision. Available training sets contain many examples with several visual descriptors, a setting in which current batch approaches are typically slow and does not scale well. In this work we introduce a theoretically motivated and efficient online learning algorithm for the Multi Kernel Learning (MKL) problem. For this algorithm we prove a theoretical bound on the number of multiclass mistakes made on any arbitrary data sequence. Moreover, we empirically show that its performance is on par, or better, than standard batch MKL (e.g. SILP, SimpleMKL) algorithms. 1. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.896; http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf |
| الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.896 http://publications.idiap.ch/downloads/reports/2010/Luo_Idiap-RR-06-2010.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.39D908B7 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |