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Class feature Sub-space for few-shot classification
Few-shot learning is used in the development of models that can acquire novel class concepts from limited training samples, facilitating rapid...
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Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
Handwriting recognition has become an active area of research in pattern recognition and machine learning in recent years. Handwriting recognition...
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Intelligent Computing Approach in Gene Evaluation for Carcinogenic Disease Detection
This chapter addresses the challenge of identifying a small subset of crucial genes from microarray data, given the limited number of effective...
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Nearest Neighbor Algorithms
Most of the practical data sets are high-dimensional. A major difficulty with classifying such data is involved not only in terms of the...
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Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification
Enhancing the interpretability of AI techniques is paramount for increasing their acceptability, especially in highly interdisciplinary fields such...
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A Polynomial Size Model with Implicit SWAP Gate Counting for Exact Qubit Reordering
Due to the physics behind quantum computing, quantum circuit designers must adhere to the constraints posed by the limited interaction distance of...
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A Novel Cooperative Package Pickup Mechanism for Door-to-Door Pickup Scenes
With the rapid development of express delivery industry, more and more focus has been shifted to express delivery mechanism design. For door-to-door...
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Age-Invariant Face Recognition Using Face Feature Vectors and Embedded Prototype Subspace Classifiers
One of the major difficulties in face recognition while comparing photographs of individuals of different ages is the influence of age progression on...
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Local weight coupled network: multi-modal unequal semi-supervised domain adaptation
Existing semi-supervised domain adaptation (SSDA) approaches on visual classification usually assume that the labelled source data are only collected...
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Progressive Keypoint Localization and Refinement in Image Matching
Image matching is the core of many computer vision applications for cultural heritage. The standard image matching pipeline detects keypoints at the...
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An Efficient Model for Forecasting Renewable Energy Using Ensemble LSTM Based Hybrid Chaotic Atom Search Optimization
Recently, energy storage systems are transformed into an emerging field that gains considerable interest in renewable energy mitigation and...
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Regularized denoising latent subspace based linear regression for image classification
This paper proposes a novel method, called Regularized Denoising Latent Subspace based Linear Regression (RDLSLR), for noisy image classification....
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CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition
Chinese Nested Named Entity Recognition (CNNER) faces several challenges due to the language diversity phenomena, the complexity of the language, and...
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Representation
Representation is an important step in building ML models. This chapter introduces how data items, classes and clusters are represented. It also...
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Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model
Lung cancer arises from the abnormal and uncontrolled reproduction of parenchymal cells. Among all cancer cases, lung cancer is one of the prevailing...
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Neural Network Internal Model Control of VSC-MTDC
AbstractIn order to solve the problem that the coupling between converter stations and the uncertainty caused by parameter perturbation in VSC-MTDC...
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Integrating a cosmetic detection scheme into face–iris multimodal biometric systems
Multimodal biometric systems generally combine information coming from more than one biometric trait to increase the accuracy of recognition systems....
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Semi-automatic Annotation for Mentions in Hindi Text
Annotated corpora are required for the development of modern, accurate, and robust techniques for Natural Language Processing (NLP) downstream...
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Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme
Nonnegative tensor decomposition is a versatile tool for multiway data analysis, by which the extracted components are nonnegative and usually...
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Optimizing classification efficiency with machine learning techniques for pattern matching
The study proposes a novel model for DNA sequence classification that combines machine learning methods and a pattern-matching algorithm. This model...
