Kenji Nishida

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A processing element and a structure element of data flow computer SIGMA-1 for scientific computations is now operational. The elements are evaluated for several benchmark programs. For efficient execution of loop constructs, the sticky token mechanism which holds loop invariants is evaluated and exhibits a remarkable effect. From the standpoint that(More)
We present an example-based algorithm for detecting objects in images by integrating component-based classifiers, which automaticaly select the best feature for each classifier and are combined according to the AdaBoost algorithm. The system employs a soft-margin SVM for the base learner, which is trained for all features and the optimal feature is selected(More)
Face tracking continues to be an important topic in computer vision. We describe a tracking algorithm based on a static face detector. Our face detector is a rectanglefeature- based boosted classifier, which outputs the confidence whether an input image is a face. The function that outputs this confidence, called a score function, contains important(More)
We investigate a method to navigate a mobile robot by using self-organizing map and reinforcement learning. Modeling hippocam-pal place cells, the map consists of units activated at specified locations in an environment. In order to adapt the map to a real-world environment, preferred locations of these units are self-organized by Kohonen's algorithm using(More)