We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Abstract— We present a novel approach to automatically extracting summary excerpts from audio and video. Our approach is to maximize the average similarity between the excerpt an...
Abstract. We introduce a concept of similarity between vertices of directed graphs. Let GA and GB be two directed graphs with respectively nA and nB vertices. We define a nA × nB...
In the context of musical analysis, we propose an algorithm that automatically induces patterns from polyphonies. We define patterns as “perceptible repetitions in a musical piec...
Structured link vector model (SLVM) is a recently proposed document representation that takes into account both structural and semantic information for measuring XML document simi...
Similarity Matrix of Proteins (SIMAP) (http://mips.gsf. 10 de/simap) provides a database based on a precomputed similarity matrix covering the similarity space formed by .4 millio...
Roland Arnold, Thomas Rattei, Patrick Tischler, Mi...
The analysis of audio signals of popular and rock songs of the versechorus form to reconstruct its original musical structures is investigated in this work. We first compute the ...
—A common problem in many areas of behavioral research is the analysis of the large volume of data recorded during the execution of the tasks being studied. Recent work has propo...
Walter Mankowski, Ali Shokoufandeh, Dario Salvucci