Motivated by multi-task machine learning with Banach spaces, we propose the notion of vector-valued reproducing kernel Banach spaces (RKBSs). Basic properties of the spaces and the associated reproducing kernels are investigated. We also present feature map constructions and several concrete examples of vector-valued RKBSs. The theory is then applied to multi-task machine learning. Especially, ...

In recent years human-machine interaction has increased its importance. One approach to an ideal human-machine interaction is develop a multi-modal system behaves like human-beings. This paper introduces an overview on multimodal corpora which are currently developed in Japan for the purpose. The paper describes database of 1)Multi-modal interaction, 2)Audio-visual speech, 3)Spoken dialogue wit...

Motivated by multi-task machine learning with Banach spaces, we propose the notion of vectorvalued reproducing kernel Banach spaces (RKBS). Basic properties of the spaces and the associated reproducing kernels are investigated. We also present feature map constructions and several concrete examples of vector-valued RKBS. The theory is then applied to multi-task machine learning. Especially, the...

In this paper we consider a multi-item, multi-machine discrete lot sizing and scheduling problems (DLSP) which consists of finding a minimal cost production schedule over a finite discrete horizon, where in each period a machine may be either producing one item at full capacity or is idle. The demand for each item in each period is known, and can be satisfied either by production in the period,...

In this paper, we propose a new pipelined multi-engine approach to machine translation, which can take advantage of the previously proposed methods, such as rule-based, example-based, pattern-based and statistics-based methods, and eliminate their disadvantages. Some key new techniques in the multi-engine approach, including attribute knowledge classifications, statistical decision-making, patt...

-In this paper the concept of synchronous stability is introduced to study the transient stability problem of an operating process for a multi-machine power system. Necessary and sufficient conditions for an orbit of the system to be synchronously stable are obtained. Condition of non-synchrony and control of the synchronous stability are discussed. Key-Words: Synchronous stability, multi-machi...

We propose the use of classifiers and machine learning techniques to extract useful information from data sets (e.g., images) to solve important problems in Image Processing and Computer Vision. We are interested in: two and multiclass image categorization, hidden messages detection, discrimination among natural and forged images, authentication, and multi-classification. Keywords-Machine Learn...