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Chapter and Conference Paper
Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification
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Chapter and Conference Paper
A Generalized Subspace Projection Approach for Sparse Representation Classification
In this paper, we propose a subspace projection approach for sparse representation classification (SRC), which is based on Principal Component Analysis (PCA) and Maximal Linearly Independent Set (MLIS). In the...
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Chapter and Conference Paper
Local-Global Joint Decision Based Clustering for Airport Recognition
Airport recognition plays an important role in many computer vision tasks. This paper proposes a novel method for airport recognition including the generation of clustering threshold adaptively and automatical...
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Article
Combining affinity propagation with supervised dictionary learning for image classification
Recently support vector machines (SVM) using spatial pyramid matching (SPM) kernel have been highly successful in image classification applications. And linear spatial pyramid matching using sparse coding (ScS...
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Chapter and Conference Paper
Hybrid Order l 0-Regularized Blur Kernel Estimation Model for Image Blind Deblurring
Most of blur kernel estimation models may fail when the blurred image contains some complex structures or is contaminated by large blur. In this paper, we propose a hybrid order l 0-regularized blur kerne...
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Chapter and Conference Paper
Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction
The rapid growth of deep learning research has introduced numerous methods to solve real-world applications. In the financial market, the stock price prediction is one of the most challenging topics. This pape...
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Chapter and Conference Paper
How Interaction Paradigms Affect User Experience and Perceived Interactivity in Virtual Reality Environment
Interactivity is one of the major features of virtual reality (VR) comparing with traditional digital devices. Many virtual reality devices and applications provide more than one input instruments for users t...
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Article
Observer-based interval type-2 fuzzy friction modeling and compensation control for steer-by-wire system
This paper studies the tracking control of the SbW system with unknown nonlinear friction torque and the unmeasured angular velocity. An observer-based adaptive interval type-2 fuzzy logic system controller is...
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Chapter and Conference Paper
Swi** Angles Differentially Influence Young and Old Users’ Performance and Experience on Swi** Gestures
The efficiency and convenience of gesture shortcuts have an important influence on user experience. However, it is unknown how the number of permitted swi** angles and their allowable range affect users’ per...
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Article
Three-Way Decision Models Based on Multi-granulation Rough Intuitionistic Hesitant Fuzzy Sets
In practice, people may hesitate to evaluate uncertain things. As an extension of fuzzy sets, intuitionistic hesitant fuzzy sets use multiple membership and non-membership degrees to express uncertain evaluati...
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Chapter and Conference Paper
Extraction and Application of Verb Event Structure Based on Grammatical Knowledge-Base of Contemporary Chinese(GKB)
Although the semantic features of words are hidden deep-seated features, they can generally be shown through the grammatical combination of words. This paper mainly relies on the descriptions of some grammatic...
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Chapter and Conference Paper
An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection
Owing to the national network “clearing up” action, it has become increasingly important to detect false information by the use of deep learning technology. As social networks gradually presents a multimodal p...
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Article
Cheerleading athlete's action safety in sports competition based on Kohonen neural network
Skill cheerleading is a sport with high difficulty, high skill and relatively high injury probability. This study mainly discusses the judgment of Cheerleading athletes' action safety in sports competition bas...
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Chapter and Conference Paper
DSQA-LLM: Domain-Specific Intelligent Question Answering Based on Large Language Model
Question Answering (QA) is crucial for humans to access vast knowledge bases, but there is a lack of attention towards representing raw, unstructured questions and answers in specific fields. Additionally, the...
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Article
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 adaptation to novel, intricate, and varied tasks encountered in re...