The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
Research on auto-harmonizing a melody (e.g. Chinese folksong) with piano accompaniment is trying to build up a computer system which generates a 3voice music including piano left-...
Abstract. In this paper, we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy const...
In this paper, we propose a peer-to-peer approach to derive and obtain additional context data from lowlevel context data that may be spread over multiple domains in pervasive com...
Abstract--We deal with the problem of efficient and accurate digital computation of the samples of the linear canonical transform (LCT) of a function, from the samples of the origi...