Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
Nowadays, music fans are beginning to massively use mobile digital music players and dedicated software to organize and play large collections of music. In this context, users dea...
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...