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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… 
2015
2015
In the recognition of human actions, there are certain difficulties caused by view diversity. This paper uses the algorithm of… 
2014
2014
The objective of recommender systems is to estimate the unknown ratings. This paper presents an efficient method to generate the… 
2013
2013
There are increasing numbers of hand interaction system based on Microsoft Kinect for its providing the extra depth information… 
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… 
2012
2012
In this paper, we propose a video representation that is motivated by the problem of categorizing large web video collections… 
2009
2009
This paper presents an efficient way to construct the self-similarity matrix, a popular approach, to detect repeating segments in… 
2008
2008
In this masters’ thesis report we present a graph theoretical method used for automatic bilingual lexicon acquisition with… 
2007
2007
In this paper, we present a framework to analyze and summarize the temporal dynamics within personal blogs. Blog temporal…