The experimental results have shown that Combining Multiple Classifiers with different features can result in satisfactory and significant improvement in recognition performance.
实验结果表明：利用多特征组合多分类器的方法可以提高“文本无关”说话人辨认系统的识别率和可靠性。
This article has summarized current methods of combining multiple classifiers, and investigated on embodying different features as input vectors.
重点探索了以不同特征作为输入的组合多分类器方法。
Caption Detection and Enhancement Choosing reasonable features according to the particularity of caption, and combining the redundant information of multiple video frame to detect and enhance caption.
基于视频的字幕检测和增强根据字幕的特殊性选择合理的特征，并利用视频中多帧间的冗余信息实现字幕的检测和增强。
Caption Detection and Enhancement Choosing reasonable features according to the particularity of caption, and combining the redundant information of multiple video frame to detect and enhance caption.
基于视频的字幕检测和增强根据字幕的特殊性选择合理的特征，并利用视频中多帧间的冗余信息实现字幕的检测和增强。
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