Results 11 to 20 of about 6,344,658 (293)
Learning to select useful landmarks [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996 To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dead-reckoning) and an image taken of a known environment, our agent first attempts to locate a set of landmarks (real-world objects at known locations), then uses their angular ...
Russell Greiner, Ramana Isukapalli
openaire +4 more sources
Incidence, Diagnosis and Treatment of Atresia Ani at Landmark University [PDF]
, 2022 Atresia ani has become a major clinical disease in Livestock especially pigs, cattle and small ruminants. It is a condition which do not often occur but requires a dogged approach in treating affected animals.
Shoyombo, A.J. +5 more
core +2 more sources
Optimizing student engagement in edge-based online learning with advanced analytics
Array, 2023 Edge-Based Online Learning (EBOL), a technique that combines the practical, hands-on approach of EBOL with the convenience of Online Learning (OL), is growing in popularity.
Rasheed Abdulkader +6 more
doaj +1 more source
Frontiers in Virtual Reality, 2022 The frequent use of GPS-based navigation assistance is found to negatively affect spatial learning. Displaying landmarks effectively while providing wayfinding instructions on such services could facilitate spatial learning because landmarks help ...
Bingjie Cheng +4 more
doaj +1 more source
Landmark Discrimination Learning in the Dog [PDF]
Learning & Memory, 1999 Allocentric spatial memory was studied in dogs of varying ages and sources using a landmark discrimination task. The primary goal of this study was to develop a protocol to test landmark discrimination learning in the dog. Using a modified version of a landmark test developed for use in monkeys, we successfully trained dogs to make a spatial ...
N W, Milgram +6 more
openaire +2 more sources
A genetic algorithm approach for predicting ribonucleic acid sequencing data classification using KNN and decision tree [PDF]
, 2021 Malaria larvae accept explosive variable lifecycle as they spread across numerous mosquito vector stratosphere. Transcriptomes arise in thousands of diverse parasites.
Adebiyi, Marion Olubunmi; Landmark University +2 more
core +1 more source
Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System. [PDF]
, 2006 A new approach to real-time joint classification and classifier design is proposed in this paper. It is based on the recently developed evolving fuzzy system (EFS) method and is applied to mobile robotics.
Angelov, Plamen, Zhou, Xiaowei
core +5 more sources
Visible-to-Thermal Transfer Learning for Facial Landmark Detection
IEEE Access, 2021 There has been increasing interest in face recognition in the thermal infrared spectrum. A critical step in this process is face landmark detection. However, landmark detection in the thermal spectrum presents a unique set of challenges compared to in ...
Domenick D. Poster +4 more
doaj +1 more source
Landmark Selection for Zero-shot Learning [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Zero-shot learning (ZSL) is an emerging research topic whose goal is to build recognition models for previously unseen classes. The basic idea of ZSL is based on heterogeneous feature matching which learns a compatibility function between image and class features using seen classes. The function is constructed based on one-vs-all training in which each
Yuchen Guo +5 more
openaire +2 more sources
Data in Brief, 2020 The recent advancements in ICT have made it possible for teaching and learning to be conducted outside the four walls of a University. Furthermore, the recent COVID-19 pandemic that has crippled educational activities in all nations of the world has ...
Oluwatobi Noah Akande +3 more
doaj +1 more source