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Related Concept Videos

Natural and Artificial Concepts01:24

Natural and Artificial Concepts

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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Creative Thinking01:25

Creative Thinking

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Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
Divergent thinking is the...
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Information Processing Approach01:30

Information Processing Approach

132
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Heuristics01:21

Heuristics

133
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
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Visual Agnosia01:12

Visual Agnosia

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Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
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Updated: Aug 27, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale.

Md Naimul Hoque, Wenbin He, Arvind Kumar Shekar

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    |September 27, 2022
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    Summary
    This summary is machine-generated.

    Data programming for AI models is enhanced with Visual Concept Programming, enabling large-scale image data labeling using visual concepts and interactive tools. This approach reduces human effort and improves AI model performance in real-world applications.

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    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Data Science

    Background:

    • Data-centric AI focuses on systematic data engineering for AI models.
    • Data programming injects domain knowledge into data using labeling functions, successful in NLP.
    • Image data programming faces challenges due to visual vocabulary description and lack of efficient tools.

    Purpose of the Study:

    • Introduce Visual Concept Programming, a novel visual analytics approach for large-scale image data programming.
    • Enable experts to inject domain knowledge into image data with minimal human effort.
    • Address the limitations of current data programming methods for image data.

    Main Methods:

    • Utilize self-supervised learning for pixel-level visual representation and concept extraction without human annotations.
    • Employ interactive visualizations for exploring visual concepts and composing labeling functions code-free.
    • Iteratively refine visual representations and concept quality using data labeled by composed functions.

    Main Results:

    • Learned pixel-wise visual representations are effective for downstream semantic segmentation tasks.
    • Demonstrated the approach's utility in real-world image retrieval for autonomous driving.
    • Successfully enabled large-scale image data programming with reduced human input.

    Conclusions:

    • Visual Concept Programming offers a scalable and efficient solution for image data programming.
    • The approach effectively bridges the gap between domain expertise and AI model training for visual data.
    • This method holds significant potential for advancing data-centric AI in computer vision applications.