Invention Grant
US07707132B2 User preference techniques for support vector machines in content based image retrieval
失效
基于内容的图像检索中支持向量机的用户偏好技术
- Patent Title: User preference techniques for support vector machines in content based image retrieval
- Patent Title (中): 基于内容的图像检索中支持向量机的用户偏好技术
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Application No.: US11243501Application Date: 2005-10-03
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Publication No.: US07707132B2Publication Date: 2010-04-27
- Inventor: Hua Xie , Antonio Ortega
- Applicant: Hua Xie , Antonio Ortega
- Applicant Address: US CA Los Angeles
- Assignee: University of Southern California
- Current Assignee: University of Southern California
- Current Assignee Address: US CA Los Angeles
- Agency: Fish & Richardson P.C.
- Main IPC: G06N5/00
- IPC: G06N5/00

Abstract:
Searching multimedia information which allows determining preferences based on very little amounts of data. The preferences are nonparametrically determined. Each preference is quantized into one of a plurality of bins. By doing the quantization, the distances between positive and negative samples are increased. The quantization amount may change depending on the number of samples which are used. The quantization can be used in a support vector machine or the like.
Public/Granted literature
- US20060112095A1 User preference techniques for support vector machines in content based image retrieval Public/Granted day:2006-05-25
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |