Results 21 to 30 of about 1,106,758 (269)
GreenCount: AI-Powered Tree Counting and Vegetation Monitoring from UAV and Satellite Imagery [PDF]
E3S Web of ConferencesTraditional tree counting relied on field surveys or semi-automated methods, such as NDVI thresholding and clustering. These methods are slow, labor-intensive, and often inaccurate in cases of dense or overlapping canopies.
Tarade Juily +5 more
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Learning, Social Intelligence and the Turing Test - why an "out-of-the-box" Turing Machine will not pass the Turing Test [PDF]
, 2012 The Turing Test (TT) checks for human intelligence, rather than any putative general intelligence. It involves repeated interaction requiring learning in the form of adaption to the human conversation partner.
A. Trewavas +13 more
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Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Machine Learning and Knowledge Extraction, 2021 Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing.
Stefan Studer +6 more
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Learning obstacle avoidance with an operant behavioral model [PDF]
, 2004 Artificial intelligence researchers have been attracted by the idea of having robots learn how to accomplish a task, rather than being told explicitly.
Gutnisky, D. A. +1 more
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A review of machine learning in scanpath analysis for passive gaze-based interaction
Frontiers in Artificial IntelligenceThe scanpath is an important concept in eye tracking. It refers to a person's eye movements over a period of time, commonly represented as a series of alternating fixations and saccades.
Abdulrahman Mohamed Selim +6 more
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PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
Animals, 2023 Automated monitoring systems have become increasingly important for zoological institutions in the study of their animals’ behavior. One crucial processing step for such a system is the re-identification of individuals when using multiple cameras.
Matthias Zuerl +8 more
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Brain Sciences, 2022 Facial expression processing mainly depends on whether the facial features related to expressions can be fully acquired, and whether the appropriate processing strategies can be adopted according to different conditions.
Kun Zhang +5 more
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Probabilistic machine learning and artificial intelligence [PDF]
Nature, 2015 How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience.
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Projective simulation for classical learning agents: a comprehensive investigation
, 2014 We study the model of projective simulation (PS), a novel approach to artificial intelligence based on stochastic processing of episodic memory which was recently introduced [H.J. Briegel and G. De las Cuevas. Sci. Rep. 2, 400, (2012)]. Here we provide a
Briegel, Hans J. +4 more
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Scientific ReportsMedical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien +5 more
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