The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a novel algorithm for graph regularized non-negative matrix factorization (NMF) with normalization based on the Kullback–Leibler divergence. The normalization is imposed to overcome the scaling ambiguity in earlier work on graph regularized NMF (GNMF) in [D. Cai, X. He, J. Han, and T. Huang, “Graph regularized non-negative matrix factorization for data representation,”...
In many criminal cases, evidence might be in the form of telephone conversations or tape recordings. Therefore, law enforcement agencies have been concerned about accurate methods to profile different characteristics of a speaker from recorded voice patterns, which facilitate the identification of a criminal. This paper proposes a new approach for speaker gender detection and age estimation, based...
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be applied to many applications, we illustrate its effectiveness in a task of vocabulary acquisition in which a spoken utterance is represented by its histogram of the acoustic co-occurrences. The regularization expresses that temporally...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.