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  2. Dynamic time warping - Wikipedia

    en.wikipedia.org/wiki/Dynamic_time_warping

    Averaging for dynamic time warping is the problem of finding an average sequence for a set of sequences. NLAAF [ 16 ] is an exact method to average two sequences using DTW. For more than two sequences, the problem is related to the one of the multiple alignment and requires heuristics.

  3. Time Warp Edit Distance - Wikipedia

    en.wikipedia.org/wiki/Time_Warp_Edit_Distance

    Time Warp Edit Distance. In the data analysis of time series, Time Warp Edit Distance (TWED) is a measure of similarity (or dissimilarity) between pairs of discrete time series, controlling the relative distortion of the time units of the two series using the physical notion of elasticity.

  4. Method of averaging - Wikipedia

    en.wikipedia.org/wiki/Method_of_averaging

    Method of averaging. In mathematics, more specifically in dynamical systems, the method of averaging (also called averaging theory) exploits systems containing time-scales separation: a fast oscillation versus a slow drift. It suggests that we perform an averaging over a given amount of time in order to iron out the fast oscillations and ...

  5. Graphical time warping - Wikipedia

    en.wikipedia.org/wiki/Graphical_time_warping

    Graphical time warping ( GTW) is a framework for jointly aligning multiple pairs of time series or sequences. [1] GTW considers both the alignment accuracy of each sequence pair and the similarity among pairs. On contrary, alignment with dynamic time warping (DTW) considers the pairs independently and minimizes only the distance between the two ...

  6. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other. It is named after Soviet mathematician Vladimir Levenshtein, who defined the metric in 1965. [ 1] Levenshtein distance may also be referred to as edit distance, although ...

  7. Forward–backward algorithm - Wikipedia

    en.wikipedia.org/wiki/Forward–backward_algorithm

    Forward–backward algorithm. The forward–backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations/emissions , i.e. it computes, for all hidden state variables , the distribution . This inference task is usually called smoothing.

  8. Reynolds operator - Wikipedia

    en.wikipedia.org/wiki/Reynolds_operator

    Functional analysis. In functional analysis a Reynolds operator is a linear operator R acting on some algebra of functions φ, satisfying the Reynolds identity. The operator R is called an averaging operator if it is linear and satisfies. If R ( R ( φ )) = R ( φ) for all φ then R is an averaging operator if and only if it is a Reynolds operator.

  9. Timewarp (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Timewarp_(computer_graphics)

    Timewarp (computer graphics) A timewarp is a tool for manipulating the temporal dimension in a hierarchically described 3D computer animation system. The term was coined by Jeff Smith and Karen Drewery in 1991. [1] Continuous curves that are normally applied to parametric modeling and rendering attributes are instead applied to the local clock ...