Technology, Science and Universe
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- Point of ViewDescription: The 'Point of View' refers to a particular attitude or way of considering a matter, which can influence the interpretation and(...) Read more
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- Motion patternDescription: The motion pattern refers to a recognizable sequence of movements in a video or image, which can be analyzed and understood by(...) Read more
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- The depth perceptionDescription: Depth perception is the ability to interpret the distance of objects in a visual scene, allowing both humans and computer vision(...) Read more
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- Plenitud Description: In the context of computer vision, fullness refers to the quality of being complete or filled in the representation of visual data.(...) Read more
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- Melting pointDescription: The fusion point in the context of computer vision refers to the moment when different data sources, such as images, videos, and(...) Read more
- Motion predictionDescription: Motion prediction refers to the estimation of future positions of moving objects within a scene. This process is fundamental in(...) Read more
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- The tuning parametersDescription: A tuning parameter is a value used to modify the behavior of a model in the context of model optimization and machine learning.(...) Read more
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- Visual reference pointDescription: A visual reference point is a marker used in image processing and computer vision to facilitate the alignment and calibration of(...) Read more
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- Probabilistic Latent Variable Model Description: A probabilistic latent variable model is a statistical approach that seeks to explain the relationships between observed variables(...) Read more
- Probabilistic Decision Tree Description: A probabilistic decision tree is a model that combines the structure of a decision tree with the incorporation of probabilities at(...) Read more
- Probabilistic Graphical Model Learning Description: The learning of probabilistic graphical models is the process of learning the structure and parameters of probabilistic graphical(...) Read more
- Probabilistic Mixture Model Description: A probabilistic mixture model is a probabilistic model that represents the presence of subpopulations within a general population.(...) Read more
- Probabilistic Sampling Description: Probabilistic sampling is a sampling technique in which each member of the population has a known probability of being selected.(...) Read more
- Probabilistic Latent Class Model Description: A probabilistic latent class model is a statistical model that assumes the population is composed of a finite number of latent(...) Read more
- Probabilistic Time Series Model Description: A probabilistic time series model is a statistical model that describes the behavior of a time series using probabilistic methods.(...) Read more
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