86 Result(s)
within
Data Mining and Knowledge Discovery
Probability and Statistics in Computer Science
**li Meng
Computer Science
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Article
Support top irrelevant machine: learning similarity measures to maximize top precision for image retrieval
Top precision is one of the most popular performance measures for content-based image retrieval task, while similarity function is the most critical component of a content-based image retrieval system. However...
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Article
RETRACTED ARTICLE: Quality assessment for virtual reality technology based on real scene
Virtual reality technology is a new display technology, which provides users with real viewing experience. As known, most of the virtual reality display through stereoscopic images. However, image quality will...
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Article
Pedestrian detection based on the privileged information
The pedestrian detection is always a challenging issue in the computer vision. Unlike the object recognition problem, the detection’s speed is a critical factor. In order to accelerate detection speed while ma...
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Research of stacked denoising sparse autoencoder
Learning results depend on the representation of data, so how to efficiently represent data has been a research hot spot in machine learning and artificial intelligence. With the deepening of the deep learning...
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Article
Generalization improvement for regularized least squares classification
In the past decades, regularized least squares classification (RLSC) is a commonly used supervised classification method in the machine learning filed because it can be easily resolved through the simple matri...
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Article
Decision making with multiplicative hesitant fuzzy linguistic preference relations
This study introduces a new type of preference relations called multiplicative hesitant fuzzy linguistic preference relations (MHFLPRs) to denote the asymmetrically qualitative hesitancy information of decisio...
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Article
Short-term wind power prediction based on improved small-world neural network
In a competitive electricity market, wind power prediction is important for market participants. However, the prediction has not a general solution due to its inherent uncertainty, intermittency, and multi-fra...
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Article
Deriving the priority weights from multiplicative consistent single-valued neutrosophic preference relations
Preference relation is one of the most important and relatively simple approaches to address decision-making problems. As a special case of neutrosophic sets, the single-valued neutrosophic set (SVNS) is an ef...
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Article
Unsupervised learning low-rank tensor from incomplete and grossly corrupted data
Low-rank tensor completion and recovery have received considerable attention in the recent literature. The existing algorithms, however, are prone to suffer a failure when the multiway data are simultaneously ...
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Article
A novel modular RBF neural network based on a brain-like partition method
In this study, a modular design methodology inherited from cognitive neuroscience and neurophysiology is proposed to develop artificial neural networks, aiming to realize the powerful capability of brain—divid...
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Article
Face image super-resolution with pose via nuclear norm regularized structural orthogonal Procrustes regression
In real applications, the observed low-resolution face images usually have pose variations. Conventional learning-based methods ignore these variations; thus, the hallucinated high-resolution faces are not rea...
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Article
DenseNet with Up-Sampling block for recognizing texts in images
The Convolutional Recurrent Neural Networks (CRNN) have achieved a great success for the study of OCR. But existing deep models usually apply the down-sampling in pooling operation to reduce the size of featur...
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Article
3D palmprint identification using blocked histogram and improved sparse representation-based classifier
The three-dimensional (3D) palmprint-based biometrics has been an emerging approach for human recognition. However, it mainly concentrates on one-to-one verification and is not efficient for one-to-many identi...
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Article
Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning
In this paper, we propose a simple yet effective low-rank representation (LRR) and subspace recovery model called mutual-manifold regularized robust fast latent LRR. Our model improves the representation abili...
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Article
A machine learning-based scheme for the security analysis of authentication and key agreement protocols
This paper proposes a novel machine learning-based scheme for the automatic analysis of authentication and key agreement protocols. Considering the traditional formal protocol analysis schemes, their analysis ...
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Article
Prediction of TBM penetration rate based on Monte Carlo-BP neural network
Based on the BP neural network model of machine learning method, the corresponding random input parameters are generated by Monte Carlo method, and the prediction of TBM driving speed is studied. In this study...
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Article
Safety diagnosis of TBM for tunnel excavation and its effect on engineering
Since the development of tunnel construction technology, different tunnel excavation technologies have also been derived for different conditions. The safety diagnosis before the TBM mining method is particula...
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Article
Bipartite consensus of double-integrator multi-agent systems with nonuniform communication time delays
In this paper, the bipartite consensus problem is addressed for a class of double-integrator multi-agent systems with antagonistic interactions. The cases with and without communication time delays are conside...
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Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength
One of the most basic topics in rock mechanic is the shear strength criteria for rock joints. Thus, it is of high importance to accurately predict the shear strength of rock joints. In this study, the abilitie...
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Article
In-depth analysis of financial market based on iris recognition algorithm of MATLAB GUI
When analyzing financial markets, it needs to mine effective information from massive data. However, it is difficult to obtain information from image information. In order to improve the efficiency of financia...
