Results 41 to 50 of about 35,641 (264)

Automatic 3D Cranial Landmark Positioning based on Surface Curvature Feature using Machine Learning

open access: yesKnowledge Engineering and Data Science, 2022
Cranial anthropometric reference points (landmarks) play an important role in craniofacial reconstruction and identification. Knowledge to detect the position of landmarks is critical. This work aims to locate landmarks automatically.
Putu Hendra Suputra   +5 more
doaj   +1 more source

Associative Basis of Landmark Learning and Integration in Vertebrates [PDF]

open access: yesComparative Cognition & Behavior Reviews, 2009
Early work on spatial navigation evaluated what stimuli (kinesthetic or extra-maze) support small-scale navigation and the nature of the underlying learning (place versus response) process. Contemporary research has focused primarily on how cues interact to determine spatial search.
Kenneth J. Leising, Aaron P. Blaisdell
openaire   +3 more sources

Against the odds: exploring individuals’ pushback mechanisms against commercialized football gambling

open access: yesFrontiers in Public Health
IntroductionThe need for money, the pursuit of pleasure, and the liberalized access to gambling have been documented in several pieces of literature as the drivers of gambling. Such drivers are predicated on commercialized gambling, leading to the growth
Tunde Adebisi   +2 more
doaj   +1 more source

Unsupervised Learning of Landmarks by Descriptor Vector Exchange [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Equivariance to random image transformations is an effective method to learn landmarks of object categories, such as the eyes and the nose in faces, without manual supervision. However, this method does not explicitly guarantee that the learned landmarks are consistent with changes between different instances of the same object, such as different ...
James Thewlis   +3 more
openaire   +4 more sources

This place looks familiar – how navigators distinguish places with ambiguous landmark objects when learning novel routes

open access: yesFrontiers in Psychology, 2015
We present two experiments investigating how navigators deal with ambiguous landmark information when learning unfamiliar routes. In the experiments we presented landmark objects repeatedly along a route, which allowed us to manipulate how informative ...
Marianne eStrickrodt   +3 more
doaj   +1 more source

Desert Ants Learn Vibration and Magnetic Landmarks [PDF]

open access: yesPLoS ONE, 2012
The desert ants Cataglyphis navigate not only by path integration but also by using visual and olfactory landmarks to pinpoint the nest entrance. Here we show that Cataglyphis noda can additionally use magnetic and vibrational landmarks as nest-defining cues.
Bühlmann, C.   +2 more
openaire   +5 more sources

Age-related Differences in Associative Learning of Landmarks and Heading Directions in a Virtual Navigation Task

open access: yesFrontiers in Aging Neuroscience, 2016
Previous studies have showed that spatial memory declines with age but have not clarified the relevance of different landmark cues for specifying heading directions among different age groups.
Jimmy Yu Zhong, Scott Douglas Moffat
doaj   +1 more source

Improving Landmark Localization with Semi-Supervised Learning [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Published as a conference paper in CVPR ...
Sina Honari   +5 more
openaire   +2 more sources

A Novel Thermal-Visual Place Learning Paradigm for Honeybees (Apis mellifera)

open access: yesFrontiers in Behavioral Neuroscience, 2020
Honeybees (Apis mellifera) have fascinating navigational skills and learning capabilities in the field. To decipher the mechanisms underlying place learning in honeybees, we need paradigms to study place learning of individual honeybees under controlled ...
Ricarda Scheiner   +7 more
doaj   +1 more source

Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression

open access: yesScientific Reports, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsolved.
Kaisei Takahashi   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy