1,850 research outputs found
Letter from Isao Kagawa to Dominguez Estate Company, May 22, 1940
No full textLetter acknowledges receipt of rent payment request from the company. The letter recounts poor crop situation and notifies the company of their poor financial situation. Isao begs to continue to lease the land
Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method
No full textWe propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions. In our method, each agent in a network has a private, local (possibly time-varying) cost function, and the objective is to minimize asymptotically the sum of these local functions in every agent (this problem appears in many different applications such as, among others, motion planning, acoustic source localization, and environmental modeling). The algorithm consists of two main steps. First, to improve the estimate of a minimizer, agents apply a particular version of the adaptive projected subgradient method to their local functions. Then the agents exchange and mix their estimates using a communication model based on recent results of consensus algorithms. We show formally the convergence of the resulting scheme, which reproduces as particular cases many existing methods such as gossip consensus algorithms and recent decentralized adaptive subgradient methods (which themselves include as particular cases many distributed adaptive filtering algorithms). To illustrate two possible applications, we consider the problems of acoustic source localization and environmental modeling via network gossiping with mobile agents
List of Books and Articles by Professor Isao YAMADA
No full text武井勇四郎教授 山田勲教授 記念号In Commemoration of Prof. Yushiro TAKEI and Prof Isao YAMAD
Isao alone and other stories
No full textChosen, cherished, sent -- Disciple of the Stone Eater -- On swimming -- Isao, alone -- Inayah, again -- Those people, that place.M.A
Adaptive Projected Subgradient Method and Its Applications to Signal Processing Problems (Plenary Talk by Isao Yamada)
No full textAdaptation and learning over complex networks
No full textThe topic of this special issue of IEEE Signal Processing Magazine is timely and deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Extensive research efforts on information processing over graphs exist within other fields such as statistics, computer science, optimization, control, economics, machine learning, biological sciences, and social sciences. Different fields tend to emphasize different aspects and challenges; nevertheless, opportunities for mutual cooperation are abundantly clear, and the role that signal processing plays in this domain is of fundamental importance. This is because, in all these fields, there is growing interest in performing inference and learning over graphs, such as deducing relationships from interconnections over social networks, modeling interactions among agents in biological networks, performing resource allocation distributively, passing information over networks, optimizing utility functions over graphs, adapting and learning over graphs, etc. Commonalities and significant signal processing run across all these applications. The articles in this special issue help highlight this interplay among disciplines and the significant role that signal processing plays in this domain
Introduction to the issue on adaptation and learning over complex networks
No full textThe topic of this special issue is timely and deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Extensive research efforts on
information processing over graphs exist within other fields such as statistics, computer science, optimization, control,
economics, machine learning, biological sciences, and social sciences. Different fields tend to emphasize different aspects and challenges; nevertheless, opportunities for mutual cooperation are abundantly clear and the role that signal processing plays in this domain is of fundamental importance. This is because, in all these fields, there is growing interest in performing inference, learning, and optimization over graphs, such as deducing relationships from interconnections over social networks, modeling interactions among agents in biological networks, performing resource allocation distributively, passing information over networks, optimizing utility functions over graphs, adapting and learning over graphs, etc. Commonalities, and significant signal processing, run across all these applications. The articles in this special issue report on up-to-date advances in the broad area of information processing over graphs
Reconsideration of Rehabilitation Social Work Preparation for the Introduction of Scheme of Supplementary Benefits to Disabled Persons for Their Home : Based Care
No full text武井勇四郎教授 山田勲教授 記念号In Commemoration of Prof. Yushiro TAKEI and Prof Isao YAMADA論文Article
Social Security in a Population-Policy Program
No full text武井勇四郎教授 山田勲教授 記念号In Commemoration of Prof. Yushiro TAKEI and Prof Isao YAMADA論文Article
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