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  2. Dynamic time warping - Wikipedia

    en.wikipedia.org/wiki/Dynamic_time_warping

    In time series analysis, dynamic time warping ( DTW) is an algorithm for measuring similarity between two temporal sequences, which may vary in speed. For instance, similarities in walking could be detected using DTW, even if one person was walking faster than the other, or if there were accelerations and decelerations during the course of an ...

  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. 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 ...

  5. 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 ...

  6. Speech recognition - Wikipedia

    en.wikipedia.org/wiki/Speech_recognition

    Dynamic time warping is an approach that was historically used for speech recognition but has now largely been displaced by the more successful HMM-based approach. Dynamic time warping is an algorithm for measuring similarity between two sequences that may vary in time or speed.

  7. Needleman–Wunsch algorithm - Wikipedia

    en.wikipedia.org/wiki/Needleman–Wunsch_algorithm

    The Needleman–Wunsch algorithm is an algorithm used in bioinformatics to align protein or nucleotide sequences. It was one of the first applications of dynamic programming to compare biological sequences. The algorithm was developed by Saul B. Needleman and Christian D. Wunsch and published in 1970. [ 1] The algorithm essentially divides a ...

  8. Talk:Dynamic time warping - Wikipedia

    en.wikipedia.org/wiki/Talk:Dynamic_time_warping

    This statement seems to be false: "The extension of the problem for two-dimensional "series" like images (planar warping) is NP-complete, while the problem for one-dimensional signals like time series can be solved in polynomial time." All 2-D, n-D series can be serialized (and usually are). The NP-complete assertion is also unreferenced.

  9. Friday Night Funkin' - Wikipedia

    en.wikipedia.org/wiki/Friday_Night_Funkin'

    The game's main playable character, Boyfriend. Friday Night Funkin' is a rhythm game in which the player controls a character called Boyfriend, who must defeat a series of opponents in order to continue dating his significant other, Girlfriend. The player must pass multiple levels, referred to as "Weeks" in-game, containing three songs each.