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What is Supervised Classification

Chapter 17
Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
This is a learning technique where labelled dataset is used to train the underlying model. The model then estimates the label of unseen data based on its learning.
Published in Chapter:
Gait Abnormality Detection Using Deep Convolution Network
Saikat Chakraborty (National Institute of Technology, Rourkela, India), Tomoya Suzuki (Tokyo University of Agriculture and Technology, Japan), Abhipsha Das (International Institute of Information Technology, Bhubaneswar, India), Anup Nandy (National Institute of Technology, Rourkela, India), and Gentiane Venture (Tokyo University of Agriculture and Technology, Japan)
Copyright: © 2021 |Pages: 10
DOI: 10.4018/978-1-7998-3053-5.ch017
Abstract
Human gait analysis plays a significant role in clinical domain for diagnosis of musculoskeletal disorders. It is an extremely challenging task for detecting abnormalities (unsteady gait, stiff gait, etc.) in human walking if the prior information is unknown about the gait pattern. A low-cost Kinect sensor is used to obtain promising results on human skeletal tracking in a convenient manner. A model is created on human skeletal joint positions extracted using Kinect v2 sensor in place using Kinect-based color and depth images. Normal gait and abnormal gait are collected from different persons on treadmill. Each trial of gait is decomposed into cycles. A convolutional neural network (CNN) model was developed on this experimental data for detection of abnormality in walking pattern and compared with state-of-the-art techniques.
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Chapter 184
Non-Cooperative Facial Biometric Identification Systems
Classification system that generates a model using training samples, and it uses that model to establish an evaluation or test with other samples.
Published in Chapter: Non-Cooperative Facial Biometric Identification Systems; From: Encyclopedia of Artificial Intelligence
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Chapter 11
Classification of Territory on Forest Fire Danger Level Using GIS and Remote Sensing
Uses the spectral signatures obtained from training samples to classify an image.
Published in Chapter: Classification of Territory on Forest Fire Danger Level Using GIS and Remote Sensing; From: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
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Chapter 212
State of the Art in Writer's Off-Line Identification
This is a system that generates a model using training samples with labels, and it uses that model in order to establish an evaluation or test with other samples without labels.
Published in Chapter: State of the Art in Writer's Off-Line Identification; From: Encyclopedia of Artificial Intelligence
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Chapter 20
Thesaurus-Based Automatic Indexing
Is a machine learning technique for creating a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs (categories). The task of the supervised learner is to predict the value of the function for any valid input object after having seen a number of training examples (i.e. pairs of input and target output). To achieve this, the learner has to generalize from the presented data to unseen situations in a “reasonable” way.
Published in Chapter: Thesaurus-Based Automatic Indexing; From: Handbook of Research on Text and Web Mining Technologies
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