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  • Boosting-Based Face Detection and Adaptationby Cha Zhang

    Morgan & Claypool Publishers 2010; US$ 40.00

    Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view... more...

  • Light Field Samplingby Cha Zhang; Tsuhan Chen

    Morgan & Claypool Publishers 2006; US$ 40.00

    This lecture focuses on answering two questions regarding light field sampling, namely how many images are needed for a light field, and if such number is limited, where we should capture them. The book can be divided into three parts. First, we give a complete analysis on uniform sampling of IBR data. By introducing the surface plenoptic function,... more...

  • Ensemble Machine Learningby Cha Zhang; Yunqian Ma

    Springer 2012; US$ 139.99

    It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed "ensemble learning" by researchers in computational intelligence and machine learning, it is known to improve a decision system's robustness and accuracy. Now, fresh developments... more...

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