NEURAL INFORMATION PROCESSING, ICONIP 2016, PT II 9948 152-159 2016年 [査読有り]
Recently, we have proposed a new objective function of ICA called the adaptive ICA function (AIF). AIF is a summation of weighted 4th-order statistics, where the weights are determined by adaptively estimated kurtoses. In this paper, the Gram-Schm...
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2382-2389 2016年 [査読有り]
In this paper, we propose an objective function of ICA with adaptive estimation of the kurtoses of sources. It is derived by applying the Gaussian approximation to the distribution of sources in the second-order polynomial feature space. This obje...
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E98D(9) 1675-1682 2015年9月 [査読有り]
In this paper, a new approach is proposed for extracting the spatio-temporal patterns from a location-based social networking system (SNS) such as Foursquare. The proposed approach consists of the following procedures. First, the spatio-temporal b...
ACM International Conference Proceeding Series 16-20- 330-339 2015年3月 [査読有り]
The curricula higher educational institutions offer is a key asset in enabling them to systematically educate their students. We have been developing a curriculum analysis method that can help to find out differences among curricula. On the basis ...
NEURAL INFORMATION PROCESSING, PT III 9491 164-171 2015年 [査読有り]
In this paper, a new objective function of ICA is proposed by a probabilistic approach to the quadratic terms. Many previous ICA methods are sensitive to the sign of kurtosis of source (sub-or super-Gaussian), where the change of the sign often ca...
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