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In this paper, we describe a novel classification technique that separates video scenes, like office work tasks, into several scenes according to each task. Even if the difference of as a whole image frame by frame in each task is small, the difference of worker's movement is quite big due to the position of face and hands according to each task. In(More)
Recently automatic image annotation (AIA) has been arising as a key technology to support image retrieval. The representative algorithm is Semantic Multiclass Labeling (SML [1]), which constructs a parametric ge-nerative model of a distribution of local image features in a class with a gaussian mixture model. Although SML shows good accuracy, SML has not(More)
Maximum likelihood (ML) method for estimating parameters of Bayesian networks (BNs) is efficient and accurate for large samples. However, ML suffers from overfitting when the sample size is small. Bayesian methods, which are effective to avoid overfitting, have difficulties for determining optimal hyperparameters of prior distributions with good balance(More)
Recently, the need to accelerate the operating cycle of bottling machines while maintaining low operation cost has arisen. However, conveying bottles at high speed without spilling the liquids inside requires advanced techniques for vibration suppression control. In this paper, we optimize the motion curve for an intermittent conveyance bottling machine by(More)