Results 21 to 30 of about 1,141,752 (328)

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions

Big Data and Cognitive Computing, 2023
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats.
Smita Khairnar, Shilpa Gite, Ketan Kotecha, Sudeep D. Thepade   +3 more
doaj   +1 more source

GreenCount: AI-Powered Tree Counting and Vegetation Monitoring from UAV and Satellite Imagery [PDF]

E3S Web of Conferences
Traditional 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, Shetty Gagan, Patil Tanmay, Ravat Kishan, Shah Tirth, Khot Uday Pandit   +5 more
doaj   +1 more source

A review of machine learning in scanpath analysis for passive gaze-based interaction

Frontiers in Artificial Intelligence
The 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, Michael Barz, Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Daniel Sonntag, Daniel Sonntag   +6 more
doaj   +1 more source

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, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller   +6 more
doaj   +1 more source

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., Zanutto, Bonifacio Silvano   +1 more
core   +1 more source

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.
openaire   +2 more sources

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, Richard Dirauf, Franz Koeferl, Nils Steinlein, Jonas Sueskind, Dario Zanca, Ingrid Brehm, Lorenzo von Fersen, Bjoern Eskofier   +8 more
doaj   +1 more source

Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

Scientific Reports
Medical 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, Abdelkareem Elkhateb, Mai Saeed, Nourhan M. Elsabawy, Alaa Ebraheem Elnakeeb, Nora Elrashidy   +5 more
doaj   +1 more source

Eye Tracking Research on the Influence of Spatial Frequency and Inversion Effect on Facial Expression Processing in Children with Autism Spectrum Disorder

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, Yishuang Yuan, Jingying Chen, Guangshuai Wang, Qian Chen, Meijuan Luo   +5 more
doaj   +1 more source

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., Makmal, Adi, Manzano, Daniel, Mautner, Julian, Tiersch, Markus   +4 more
core   +1 more source