Everything about Geometric feature learning
Technique combining machine learning and computer vision
Geometric feature learning is a technique combining machine learning and computer vision to solve visual tasks. The main goal of this method is to find a set of representative features of geometric form to represent an object by collecting geometric features from images and learning them using efficient machine learning methods. Humans solve visual tasks and can give fast response to the environment by extracting perceptual information from what they see. Researchers simulate humans' ability of recognizing objects to solve computer vision problems. For example, M. Mata et al.(2002) applied feature learning techniques to the mobile robot navigation tasks in order to avoid obstacles. They used genetic algorithms for learning features and recognizing objects (figures). Geometric feature learning methods can not only solve recognition problems but also predict subsequent actions by analyzing a set of sequential input sensory images, usually some extracting features of images. Through learning, some hypothesis of the next action are given and according to the probability of each hypothesis give a most probable action. This technique is widely used in the area of artificial intelligence. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Geometric feature learningA 5-minute orientation
- Skim a recent paper: Geometric-Feature Representation Based Pre-Training Method for Reinforcement Learning of Peg-in-Hole TasksInfluential work since 2022
- Pick up a classic book: Intelligence BulletinThe most-reprinted book on the subject
- Read the landmark paper: Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature LearningCited 81 times
- Go sideways: Constellation modelA closely related topic
- Go sideways: One-shot learning (computer vision)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning
Facial geometric feature extraction based emotional expression classification using machine learning algorithms
Geometric-Convolutional Feature Fusion Based on Learning Propagation for Facial Expression Recognition
Geometric imbalanced deep learning with feature scaling and boundary sample mining
Goal orientation by geometric and feature cues: spatial learning in the terrestrial toad Rhinella arenarum
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
Hyperspectral Image Classification Using Geometric Spatial–Spectral Feature Integration: A Class Incremental Learning Approach
Strawberry Fruit Deformity Detection and Symmetry Quantification Using Deep Learning and Geometric Feature Analysis
🆕 Influential since 2022
Geometric-Feature Representation Based Pre-Training Method for Reinforcement Learning of Peg-in-Hole Tasks
Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data
A Tooth Segmentation Method Based on Multiple Geometric Feature Learning
Automatic Rooftop Solar Panel Recognition from UAV LiDAR Data Using Deep Learning and Geometric Feature Analysis
Supervised Learning Spectrum Sensing Method via Geometric Power Feature
📚 Books worth reading
Intelligence BulletinUnited States. War Department. Military Intelligence Service · 1942
Cartesian meditationsEdmund Husserl, Dorion Cairns · 1960
Neuro-fuzzy and soft computingJyh-Shing Roger Jang, Chuen-Tsai Sun · 1996
Information Processing in Medical ImagingJames C. Gee · 2013
Computational Visual MediaShi-Min Hu · 2012
Research and Development in Intelligent Systems XXIXMax Bramer · 2012
Understanding eventsJeffrey M. Zacks · 2007
Parallel Processes and Related Automata =: Parallele Prozesse Und Damit Zusammenhangende Automaten (Journal of Neural Transmission: Supplementum)Walter Knodel · 1981
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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