Masayuki Kuba

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Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. In this paper, we introduce a framework for automatic feature subspace selection from a common feature vector. The selected features build a new representation which is better suitable for a given learning task and recognition. In order to solve this(More)
The ability of Grids to share resources across organizational boundaries appeals to larger communities than the original computational grids. A specific resource which can be shared is knowledge. Architecture is presented for sharing biomedical knowledge that can be captured in the form of algorithms, and exposed as semantically annotated grid web services.(More)
This paper discusses the comprehensive performance proling, improvement, and benchmarking of a Molecular Dynamics code, one of the most parallelizable applications, on both shared and distributed multiprocessor systems. In our analysis , we consider language, compiler, architecture, and algorithmic changes for each parallel portion and discuss the(More)
This paper discusses the comprehensive performance profiling, improvement and benchmarking of a Computational Fluid Dynamics code, one of the Grand Challenge applications, on three popular multiprocessors. In the process of analyzing performance we considered language, compiler, architecture, and algorithmic changes and quantified each of them and their(More)
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