We develop the syntactic topic model (STM), a nonparametric Bayesian model of parsed documents. The STM generates words that are both thematically and syntactically constrained, w...
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
This paper presents a nonparametric Bayesian extension of nonnegative matrix factorization (NMF) for music signal analysis. Instrument sounds often exhibit non-stationary spectral...
Masahiro Nakano, Jonathan Le Roux, Hirokazu Kameok...
—Variations in walking speed have a strong impact on the recognition of gait. We propose a method of recognition of gait that is robust against walking-speed variations. It is es...
Muhammad Rasyid Aqmar, Koichi Shinoda, Sadaoki Fur...
Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important p...