عنوان مقاله فارسی: الگوریتم های مقیاس پذیر برای یادگیری چند نمونه
عنوان مقاله لاتین: Scalable Algorithms for Multi-Instance Learning
نویسندگان: Xiu-Shen Wei; Jianxin Wu; Zhi-Hua Zhou
تعداد صفحات: 12
سال انتشار: 2017
زبان: لاتین
Abstract:
Multi-instance learning (MIL) has been widely applied to diverse applications involving complicated data objects, such as images and genes. However, most existing MIL algorithms can only handle small- or moderate-sized data. In order to deal with large-scale MIL problems, we propose MIL based on the vector of locally aggregated descriptors representation (miVLAD) and MIL based on the Fisher vector representation (miFV), two efficient and...