Alejandro Hector Toselli Enrique Vidal Francisco Casacuberta
Many real-world applications of pattern recognition (PR) systems require human post-processing to correct the errors committed by machines. This can create bottlenecks in recognition systems, yielding high operational costs.
This important text/reference proposes a radically different approach to this problem, in which users of a system are involved during the recognition process. This can help to avoid later errors and reduce the costs associated with post-processing. The book also examines a range of advanced multimodal interactions between the machine and the users, including...
Many real-world applications of pattern recognition (PR) systems require human post-processing to correct the errors committed by machines. This ca...