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Ranks01:02

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Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
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Weighted Mean00:57

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While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
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Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
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Downsampling01:20

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Causes of Similarity-Dissimilarity Effect01:26

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The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
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Relative Frequency Histogram01:14

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The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Image Re-Ranking Based on Topic Diversity.

Xueming Qian, Dan Lu, Yaxiong Wang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 3, 2017
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    Summary
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    This study introduces a novel topic diverse ranking approach for tag-based image retrieval, enhancing search relevance and diversity. The method uses tag graphs and community detection to improve topic coverage in social media image search.

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    Area of Science:

    • Computer Science
    • Information Retrieval
    • Data Mining

    Background:

    • Social media platforms enable users to annotate images with tags, crucial for web image retrieval.
    • Tag-based image search is vital for discovering user-shared images on social networks.
    • Achieving both relevance and diversity in top-ranked search results remains a significant challenge.

    Purpose of the Study:

    • To propose a topic diverse ranking approach for tag-based image retrieval.
    • To enhance topic coverage performance in image search.
    • To improve the relevance and diversity of retrieved images.

    Main Methods:

    • Constructing a tag graph based on tag similarity.
    • Applying community detection to identify topic communities for each tag.
    • Implementing inter-community and intra-community ranking strategies.
    • Utilizing an adaptive random walk model for community ranking.
    • Building an inverted index structure for efficient image searching.

    Main Results:

    • The proposed approach effectively improves topic coverage in tag-based image retrieval.
    • Experimental results on Flickr and NUS-Wide datasets demonstrate the approach's effectiveness.
    • The method successfully balances relevance and diversity in search results.

    Conclusions:

    • The developed topic diverse ranking approach significantly enhances tag-based image retrieval systems.
    • The integration of tag graphs, community detection, and adaptive ranking provides a robust solution for diverse image search.
    • This research contributes to more effective and comprehensive image retrieval from social media data.