Combining Extreme Multi-label Classification and Principal Label Space Transformation for Cold Start Thread Recommendation

We investigated how well a multilayer neural network could implement the mapping between two trichromatic color spaces, specifically from camera R,G,B to tristimulus X,Y,Z. For training the network, a set of 800,000 synthetic reflectance spectra was generated. For testing the network, a set of 8,714 real reflectance spectra was collated from instrumental measurements on textiles, paints and natural materials. Various network architectures were tested, with both linear and sigmoidal activations. Results show that over 85% of all test samples had color errors of less than 1.0 ΔE2000 units, much more accurate than could be achieved by regression.

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A Correspondence-Free Color Chart Design for Color Calibration

London Imaging Meeting ◽

10.2352/issn.2694-118x.2020.lim-01 ◽

2020 ◽

Vol 2020 (1) ◽

pp. 100-104

Author(s):

Hakki Can Karaimer ◽

Rang Nguyen

Keyword(s):

Color Space ◽

Fixed Number ◽

New Approach ◽

Color Chart ◽

Color Calibration ◽

Space Transformation ◽

Color Space Transformation ◽

Chart Design ◽

Calibration Approach

Colorimetric calibration computes the necessary color space transformation to map a camera's device-specific color space to a device-independent perceptual color space. Color calibration is most commonly performed by imaging a color rendition chart with a fixed number of color patches with known colorimetric values (e. g., CIE XYZ values). The color space transformation is estimated based on the correspondences between the camera's image and the chart's colors. We present a new approach to colorimetric calibration that does not require explicit color correspondences. Our approach computes a color space transformation by aligning the color distributions of the captured image to the known distribution of a calibration chart containing thousands of colors. We show that a histogram-based colorimetric calibration approach provides results that are onpar with the traditional patch-based method without the need to establish correspondences.

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Solving Cold-Start Problem by Combining Personality Traits and Demographic Attributes in a User Based Recommender System

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i4/01420 ◽

2017 ◽

Vol 7 (5) ◽

pp. 231-239 ◽

Cited By ~ 1

Author(s):

◽

Zewengel Tilahun ◽

Huang Dong Jun ◽

Ammar Oad ◽

◽

...

Keyword(s):

Personality Traits ◽

Recommender System ◽

Cold Start ◽

Demographic Attributes ◽

Cold Start Problem

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Inventing Synagogue Conversion

Journal of Ancient Judaism ◽

10.30965/21967954-00403006 ◽

2013 ◽

Vol 4 (3) ◽

pp. 401-416

Author(s):

Shira L. Lander

Keyword(s):

Religious Belief ◽

Sacred Space ◽

Sixth Century ◽

Building Structures ◽

Late Antique ◽

Complex Processes ◽

Space Transformation

Historians of the ancient synagogue often use the term “conversion” to describe any kind of adaptation of a building once designated as a synagogue into a church. This label oversimplifies and misconstrues complex processes, both rhetorical and architectural, that were at work in transforming the landscape of the late antique Mediterranean. I explore the dynamic of this triumphalist rhetoric and architectural strategy, showing that Christian writers meant something very specific by the term “conversion,” and that they invented the paradigm of synagogue conversion in order to interpret the changing landscape to their readers. The architectural program of replacement as a strategy for converting subject populations to Christianity emerged in the sixth century. By characterizing changes made to building structures and changes in religious belief as “conversion,” imperial policy concretized the association of sacred space transformation with the victory of Christianity over Judaism and paganism.

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