We propose a novel probabilistic image selection method for the Web image gathering system we proposed before. It employed two-step processing: (1) Gather HTML files of Web pages related to given keywords, analyze them and fetch only Web images expected to be highly related to the keywords. (2) Select only relevant images from the gathered images based on the image-feature-based clustering. In this paper, we propose building a generative model based on the Gaussian mixture model to represent the distribution of (...) image features of images related to the given keywords, and applying it to select images instead of the processing (2). We call the new system ``Probabilistic Image Collector''. We show the effectiveness of our proposed system by the experimental results. (shrink)

One of six commentaries on “Obesity: Chasing an Elusive Epidemic,” by Daniel Callahan, from the January‐February 2013 issue.

In this paper, we describe a generic image classification system with an automatic knowledge acquisition mechanism from the World Wide Web. Due to the recent spread of digital imaging devices, the demand for generic image classification/recognition of various kinds of real world scenes becomes greater. To realize it, visual knowledge on various kinds of scenes is required, and we have to prepare a large number of learning images. Therefore, commercial image collections such as Corel Image Gallery are widely used in (...) conventional studies on generic image classification. However, they are not suitable as learning images for generic image classification, since they do not include various kinds of images. Then, in stead of commercial image collections we propose utilizing of a large number of images gathered from the World-Wide Web by a Web image-gathering system as learning images. Images on the Web have huge diversity in general. So that we take advantage of the diversity of Web images for a generic image classification task, which is the first attempt among this kinds of work. By the experiments, we show that utilizing of Web images as learning images is effective and promising for generic image classification. (shrink)

In _Religion and Nothingness_ the leading representative of the Kyoto School of Philosophy lays the foundation of thought for a world in the making, for a world united beyond the differences of East and West. Keiji Nishitani notes the irreversible trend of Western civilization to nihilism, and singles out the conquest of nihilism as _the_ task for contemporary philosophy. Nihility, or relative nothingness, can only be overcome by being radicalized to Emptiness, or absolute nothingness. Taking absolute nothingness as the (...) fundamental notion in rational explanations of the Eastern experience of human life, Professor Nishitani examines the relevance of this notion for contemporary life, and in particular for Western philosophical theories and religious believes. Everywhere his basic intention remains the same: to direct our modern predicament to a resolution through this insight. The challenge that the thought of Keiji Nishitani presents to the West, as a modern version of an Eastern speculative tradition that is every bit as old and as variegated as our own, is one that brings into unity the principle of reality and the principle of salvation. In the process, one traditional Western idea after another comes under scrutiny: the dichotomy of faith and reason, of being and substance, the personal and transcendent notions of God, the exaggerated role given to the knowing ego, and even the Judeo-Christian view of history itself. _Religion and Nothingness_ represents the major work of one of Japan's most powerful and committed philosophical minds. (shrink)