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    • 11. 发明授权
    • Multiple category learning for training classifiers
    • 训练分类器的多类学习
    • US08401979B2
    • 2013-03-19
    • US12618799
    • 2009-11-16
    • Cha ZhangZhengyou Zhang
    • Cha ZhangZhengyou Zhang
    • G06F15/18
    • G06N99/005
    • Described is multiple category learning to jointly train a plurality of classifiers in an iterative manner. Each training iteration associates an adaptive label with each training example, in which during the iterations, the adaptive label of any example is able to be changed by the subsequent reclassification. In this manner, any mislabeled training example is corrected by the classifiers during training. The training may use a probabilistic multiple category boosting algorithm that maintains probability data provided by the classifiers, or a winner-take-all multiple category boosting algorithm selects the adaptive label based upon the highest probability classification. The multiple category boosting training system may be coupled to a multiple instance learning mechanism to obtain the training examples. The trained classifiers may be used as weak classifiers that provide a label used to select a deep classifier for further classification, e.g., to provide a multi-view object detector.
    • 描述了多类学习,以迭代的方式联合训练多个分类器。 每个训练迭代将自适应标签与每个训练示例相关联,其中在迭代期间,任何示例的自适应标签能够由随后的重新分类改变。 以这种方式,任何错误标记的训练示例在训练期间由分类器校正。 训练可以使用维护由分类器提供的概率数据的概率多类别提升算法,或者获胜者全部多类别增强算法基于最高概率分类来选择自适应标签。 多类别增强训练系统可以耦合到多实例学习机制以获得训练示例。 经训练的分类器可以用作弱分类器,其提供用于选择用于进一步分类的深分类器的标签,例如提供多视图对象检测器。
    • 17. 发明申请
    • VIRTUAL AUDIO ENVIRONMENT FOR MULTIDIMENSIONAL CONFERENCING
    • 多媒体会议的虚拟音频环境
    • US20120155680A1
    • 2012-06-21
    • US12970964
    • 2010-12-17
    • Wei-ge ChenZhengyou ZhangYoomi Hur
    • Wei-ge ChenZhengyou ZhangYoomi Hur
    • H04R5/02
    • H04R27/00H04R2227/003H04R2227/005
    • The disclosed architecture employs signal processing techniques to provide audio perception only, or audio perception that matches the visual perception. This also provides spatial audio reproduction for multiparty teleconferencing such that the teleconferencing participants perceive themselves as if they were sitting in the same room. The solution is based on the premise that people perceive sounds as a reconstructed wavefront, and hence, the wavefronts are used to provide the spatial perceptual cues. The differences between the spatial perceptual cues derived from the reconstructed wavefront of sound waves and the ideal wavefront of sound waves form an objective metric for spatial perceptual quality, and provide the means of evaluating the overall system performance. Additionally, compensation filters are employed to improve the spatial perceptual quality of stereophonic systems by optimizing the objective metrics.
    • 所公开的架构采用信号处理技术来仅提供音频感知,或者与视觉感知匹配的音频感知。 这也为多方电话会议提供了空间音频再现,使得电话会议参与者将自己视为坐在同一个房间中。 解决方案是基于人们将声音视为重建波前的前提,因此波前用于提供空间感知线索。 从声波重构波前衍生的空间感知线索与声波理想波阵面之间的差异形成了空间感知质量的客观指标,并提供了评估整体系统性能的手段。 另外,通过优化客观指标,采用补偿滤波器来提高立体声系统的空间感知质量。