Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity Based Objectness Estimation is popular PDF and ePub book, written by Keli Hu in 2024-10-02, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity Based Objectness Estimation can be Read Online from any device for your convenience.
Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity Based Objectness Estimation Book PDF Summary
An online neutrosophic similarity-based objectness tracking with a weighted multiple instance learning algorithm (NeutWMIL) is proposed. Each training sample is extracted surrounding the object location, and the distribution of these samples is symmetric. To provide a more robust weight for each sample in the positive bag, the asymmetry of the importance of the samples is considered. The neutrosophic similarity-based objectness estimation with object properties (super straddling) is applied.
Detail Book of Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity Based Objectness Estimation PDF
- Author : Keli Hu
- Release : 02 October 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 24 pages
- Language : English
- PDF File Size : 16,8 Mb
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