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  2. Version 6 Unix - Wikipedia

    en.wikipedia.org/wiki/Version_6_Unix

    UNSW professor John Lions' famous Commentary on UNIX 6th Edition was an edited selection of the main parts of the kernel as implemented for a Digital PDP-11/40, and was the main source of kernel documentation for many early Unix developers. Due to license restrictions on later Unix versions, the book was mainly distributed by samizdat photo ...

  3. Histogram - Wikipedia

    en.wikipedia.org/wiki/Histogram

    The total area of a histogram used for probability density is always normalized to 1. If the length of the intervals on the x-axis are all 1, then a histogram is identical to a relative frequency plot. Histograms are sometimes confused with bar charts. In a histogram, each bin is for a different range of values, so altogether the histogram ...

  4. V-optimal histograms - Wikipedia

    en.wikipedia.org/wiki/V-optimal_histograms

    A v-optimal histogram is based on the concept of minimizing a quantity which is called the weighted variance in this context. [1] This is defined as = =, where the histogram consists of J bins or buckets, n j is the number of items contained in the jth bin and where V j is the variance between the values associated with the items in the jth bin.

  5. Alpha Books - Wikipedia

    en.wikipedia.org/wiki/Alpha_Books

    Alpha Books, a member of Penguin Random House, is an American publisher best known for its Complete Idiot's Guides series. It began as a division of Macmillan. Pearson Education acquired Macmillan General Reference (MGR) from Simon & Schuster in 1998 and retained Complete Idiot's Guides while the rest of MGR was sold to IDG Books. [1]

  6. Balanced histogram thresholding - Wikipedia

    en.wikipedia.org/wiki/Balanced_histogram...

    Args: histogram (np.ndarray): The histogram of the image as a 1D numpy array, where each element represents the count of pixels at a specific intensity level. minimum_bin_count (int): Minimum count for a bin to be considered in the thresholding process. Bins with counts below this value are ignored, reducing the effect of noise.

  7. Histogram of oriented gradients - Wikipedia

    en.wikipedia.org/wiki/Histogram_of_oriented...

    The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image.