Results 61 to 70 of about 254,373 (189)

Landmark vs. geometry learning: Explaining female rats' selective preference for a landmark [PDF]

open access: yes, 2014
Rats were trained in a triangular-shaped pool to find a hidden platform, whose location was defined in terms of two sources of information, a landmark outside the pool and a particular corner of the pool.
Chamizo, Victoria D.   +3 more
core  

Cloth manipulation based on category classification and landmark detection

open access: yesInternational Journal of Advanced Robotic Systems, 2022
Cloth manipulation remains a challenging problem for the robotic community. Recently, there has been an increased interest in applying deep learning techniques to problems in the fashion industry. As a result, large annotated data sets for cloth category
Oscar Gustavsson   +5 more
doaj   +1 more source

Pose-Invariant Face Recognition via Facial Landmark Based Ensemble Learning

open access: yesIEEE Access, 2023
In recent years, pose-invariant face recognition has been mainly approached from a holistic insight. DCNNs (ArcFace, Elastic Face, FaceNet) are used to compute a face image embedding, which is used later to perform face recognition. This paper presents a
Shinfeng D. Lin, Paulo E. Linares Otoya
doaj   +1 more source

Integrated Face Analytics Networks through Cross-Dataset Hybrid Training

open access: yes, 2017
Face analytics benefits many multimedia applications. It consists of a number of tasks, such as facial emotion recognition and face parsing, and most existing approaches generally treat these tasks independently, which limits their deployment in real ...
Feng, Jiashi   +7 more
core   +1 more source

Data-driven approach to learning salience models of indoor landmarks by using genetic programming

open access: yesInternational Journal of Digital Earth, 2020
In landmark-based way-finding, determining the most salient landmark from several candidates at decision points is challenging. To overcome this problem, current approaches usually rely on a linear model to measure the salience of landmarks.
Xuke Hu   +6 more
doaj   +1 more source

Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

open access: yes, 2016
This paper describes our submission to the 1st 3D Face Alignment in the Wild (3DFAW) Challenge. Our method builds upon the idea of convolutional part heatmap regression [1], extending it for 3D face alignment.
Adrian Bulat, R Gross, X Zhang
core   +1 more source

How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?

open access: yesEducation Sciences
Cognitive load theory (CLT) has driven numerous empirical studies for over 30 years and is a major theme in many of the most cited articles published between 1988 and 2023.
Amedee Marchand Martella   +2 more
doaj   +1 more source

Supervised Learning with Similarity Functions [PDF]

open access: yes, 2012
We address the problem of general supervised learning when data can only be accessed through an (indefinite) similarity function between data points.
Jain, Prateek, Kar, Purushottam
core   +2 more sources

Using virtual global landmark to improve incidental spatial learning

open access: yesScientific Reports, 2022
To reduce the decline of spatial cognitive skills caused by the increasing use of automated GPS navigation, the virtual global landmark (VGL) system is proposed to help people naturally improve their sense of direction.
Jia Liu   +2 more
doaj   +1 more source

Learning landmark geodesics using Kalman ensembles

open access: yes, 2021
We study the problem of diffeomorphometric geodesic landmark matching where the objective is to find a diffeomorphism that via its group action maps between two sets of landmarks. It is well-known that the motion of the landmarks, and thereby the diffeomorphism, can be encoded by an initial momentum leading to a formulation where the landmark matching ...
Bock, Andreas, Cotter, Colin J.
openaire   +2 more sources

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