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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

User preference techniques for support vector machines in content based image retrieval
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.
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