The Tokyo Institute of Technology team participated in the high-level feature extraction, surveillance event detection pilot and Rushes summarization tasks for TRECVID2008. In the...
Shanshan Hao, Yusuke Yoshizawa, Koji Yamasaki, Koi...
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...