Hibiki Saito

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In this paper, we present our project for realizing Virtualized Reality in a large-scale space such as a soccer stadium, concert hall, etc. . We have developed an extended system of CMU 3D room [3] in an efficient way so that 4D digitization of a large-scale space can practically realized. We place 16 progressive scan cameras around a large space (e.g. 70m(More)
We present JANUS, a speech-to-speech translation system that utilizes diverse processing strategies including connectionist learning, traditional AI knowledge representation approaches, dynamic programming, and stochastic techniques. JANUS translates continuously spoken English utterances into Japanese and German speech utterances. The overall system(More)
Summary form only given. The application of a stochastic vector machine (SVM) to alphanumeric character recognition is considered. The SVM is a new multilayered network with learning ability as in the backpropagation (BP) model. The system dynamics in the network is represented on the direct product space of the stochastic vector, so the network consists of(More)
Software testing is an important part of the software development process. Much work been has done on automating various parts of testing. In previous work, we had proposed a knowledge-based approach to generate test scenarios for Web applications. However, our previous work did not account for generation of actual test data. Thus, in order to execute the(More)
Summary form only given. The authors examine internal representations of a stochastic vector machine (SVM) and compare its learning ability with that of the backpropagation (BP) model through the experiments of handwritten Chinese character recognition. The experimental results show two facts. One is that local or distributed representation of input(More)
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