27 Result(s)
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Article
Multi-scale patch fuzzy decision for face recognition with category information
Small size sample face recognition is one of the most challenging problems in image classification. Multi-scale patch collaborative representation is an effective method to deal with this problem. The existing...
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Article
A Simple yet Effective Framework for Active Learning to Rank
While China has become the largest online market in the world with approximately 1 billion internet users, Baidu runs the world’s largest Chinese search engine serving more than hundreds of millions of daily a...
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Chapter and Conference Paper
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization
Deep learning-based cell detectors have shown promise in automating cell detection in histopathology images, which can aid in cancer diagnosis and prognosis. Nevertheless, the color variation in stain appearan...
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Article
Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment
With the development of convolutional neural network (CNN) technology, No-reference Image Quality Assessment (NR-IQA) based on CNN has attracted the attention of many scholars. However, most of the previous me...
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Article
Adaptive fuzzy command filtered control for incommensurate fractional-order MIMO nonlinear systems with input saturation
In this paper, an adaptive fuzzy control approach for incommensurate fractional-order multi-input multi-output (MIMO) systems with unknown nonlinearities and input saturation is presented. First, the nonlinear...
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Article
No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism
With the rapid development of deep learning, no-reference image quality assessment (NR-IQA) based on convolutional neural network (CNN) plays an important role in image processing. Currently, most CNN-based NR...
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Article
Margin attribute reductions for multi-label classification
Multi-label classification is a typical supervised machine learning problem and widely applied in text classification and image recognition. When there are redundant attributes in the data, the efficiency of c...
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Article
Data reduction based on NN-kNN measure for NN classification and regression
Data reduction processes are designed not only to reduce the amount of data, but also to reduce noise interference. In this study, we focus on researching sample reduction algorithms for the classification and...
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Article
On improving knowledge graph facilitated simple question answering system
Leveraging knowledge graph will benefit question answering tasks, as KG contains well-structured informative data. However, training knowledge graph-based simple question answering systems is known computation...
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Article
Cooperative representation of multiscale patch face recognition based on fuzzy decision
The machine learning of small sample size is one of the most challenging problems in face recognition. Multiscale patch cooperative representation for face recognition provides multiple patch scales to a sampl...
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Article
Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems
In data processing, measurement of uncertainty is one of the significant evaluation tools, which can describe the uncertainty essence of data. So far, there are few measurable tools to study the uncertainty of...
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Chapter and Conference Paper
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN
Image super-resolution is important in many fields, such as surveillance and remote sensing. However, infrared (IR) images normally have low resolution since the optical equipment is relatively expensive. Rece...
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Article
A multigranulation fuzzy rough approach to multisource information systems
Multigranulation rough set is one class of the important models in rough set community. However, both pessimistic and optimistic rough sets have disadvantages in describing target concept. In this paper, a nov...
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Chapter and Conference Paper
Off-Policy Differentiable Logic Reinforcement Learning
In this paper, we proposed an Off-Policy Differentiable Logic Reinforcement Learning (OPDLRL) framework to inherit the benefits of interpretability and generalization ability in Differentiable Inductive Logic ...
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Article
Attribute reduction for multi-label classification based on labels of positive region
In this paper, on the basis of the rough set theory, four attribute reduction algorithms are proposed for multi-label data. In order to improve the computational efficiency, the proposed algorithms utilize the...
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Article
Attribute reduction based on the Boolean matrix
Attribute reduction is an important preprocessing step in machine learning and pattern recognition. This paper introduces condition-attribute Boolean matrix and decision-attribute Boolean matrix and proposes a...
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Chapter and Conference Paper
Study on Key Design Parameters of Calcinations System in Rotary Lime Kiln Based on Computer Simulation
At present, the lime technology of rotary kiln in our country lacks basic research. There is no systematic study on the influence of key design conditions such as raw materials and fuel on the design parameter...
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Chapter and Conference Paper
Gated Hierarchical Attention for Image Captioning
Attention modules connecting encoder and decoders have been widely applied in the field of object recognition, image captioning, visual question answering and neural machine translation, and significantly impr...
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Article
Homomorphism between ordered decision systems
Communication between information systems is an important topic in granular computing. The notion of homomorphism is viewed as a basic tool to study this kind of problems. This work studies basic properties of...
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Chapter and Conference Paper
Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest Recommendation
Temporal information plays an important role in Point-of-Interest (POI) recommendations. Most existing studies model the temporal influence by utilizing the observed check-in time stamps explicitly. With the c...
