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Self-similarity matrix

In data analysis, the self-similarity matrix is a graphical representation of similar sequences in a data series. Similarity can be explained by… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Motion trajectories provide a meaningful clue in motion characterization of humans, robots, and moving objects. This paper… 
2014
2014
The problem of viewpoint changes is an important issue in the study of human action recognition. In this paper, we propose the… 
2013
2013
In this paper, we propose a new method for segmenting and summarizing music based on its structure analysis. To do that, we first… 
2012
2012
In this paper we describe a method of audio chord estimation than does not rely on any machine learning technique. We calculate a… 
2012
2012
Since depth measuring devices for real-world scenarios became available in the recent past, the use of 3d data now comes more in… 
2009
2009
This paper presents an efficient way to construct the self-similarity matrix, a popular approach, to detect repeating segments in… 
2009
2009
This paper deals with the temporal synchronization of videos representing the same dynamic event from different viewpoints. We… 
2008
2008
In this masters’ thesis report we present a graph theoretical method used for automatic bilingual lexicon acquisition with… 
2007
2007
Abstract This paper presents a self-similarity analysis approach to tempo induction, assuming that tempo remains approximately… 
2007
2007
In this paper, we present a framework to analyze and summarize the temporal dynamics within personal blogs. Blog temporal…