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  2. CellCognition - Wikipedia

    en.wikipedia.org/wiki/CellCognition

    CellCognition uses a computational pipeline which includes image segmentation, object detection, feature extraction, statistical classification, tracking of individual cells over time, detection of class-transition motifs (e.g. cells entering mitosis), and HMM correction of classification errors on class labels.

  3. Cell–cell recognition - Wikipedia

    en.wikipedia.org/wiki/Cellcell_recognition

    These events can be grouped into two main categories: Intrinsic Recognition and Extrinsic Recognition. [3] Intrinsic Recognition is when cells that are part of the same organism associate. [3] Extrinsic Recognition is when the cell of one organism recognizes a cell from another organism, like when a mammalian cell detects a microorganism in the ...

  4. Pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition

    [9] [10] The last two examples form the subtopic image analysis of pattern recognition that deals with digital images as input to pattern recognition systems. [11] [12] Optical character recognition is an example of the application of a pattern classifier. The method of signing one's name was captured with stylus and overlay starting in 1990.

  5. Core Python Programming - Wikipedia

    en.wikipedia.org/wiki/Core_Python_Programming

    Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals. [3]

  6. Gestalt pattern matching - Wikipedia

    en.wikipedia.org/wiki/Gestalt_Pattern_Matching

    Gestalt pattern matching, [1] also Ratcliff/Obershelp pattern recognition, [2] is a string-matching algorithm for determining the similarity of two strings. It was developed in 1983 by John W. Ratcliff and John A. Obershelp and published in the Dr. Dobb's Journal in July 1988.

  7. The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [ 8 ] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of Scheme as an introductory language for a computer science course. [ 9 ]

  8. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.

  9. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Weight Lifting Exercises monitored with Inertial Measurement Units Five variations of the biceps curl exercise monitored with IMUs. Some statistics calculated from raw data. 39,242 Text Classification 2013 [178] [179] W. Ugulino et al. sEMG for Basic Hand movements Dataset Two databases of surface electromyographic signals of 6 hand movements ...