64 Result(s)
within
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Zhuo** **e
Computer Science
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Article
Brain stroke lesion segmentation using consistent perception generative adversarial network
The state-of-the-art deep learning methods have demonstrated impressive performance in segmentation tasks. However, the success of these methods depends on a large amount of manually labeled masks, which are e...
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Article
Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings
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Article
A joint model for entity and relation extraction based on BERT
In recent years, as the knowledge graph has attained significant achievements in many specific fields, which has become one of the core driving forces for the development of the internet and artificial intelli...
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Article
A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings
This paper presents a deep learning-assisted framework to estimate the decongestion time at the grade crossing, and its key novelty lies in a differential approach to address the challenge associated with data...
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Chapter and Conference Paper
Zero-shot Personality Perception From Facial Images
Personality perception is an important process that affects our behaviours towards others, with applications across many domains. Automatic personality perception (APP) tools can help create more natural inter...
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Article
Dual temporal convolutional network for single-lead fibrillation waveform extraction
The f-wave extraction (FE) is essential for analysis of atrial fibrillations. However, the state-of-the-art FE methods are model-based, and they cannot well adapt to the QRST complexes with high morphological ...
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Article
A dynamic routing optimization problem considering joint delivery of passengers and parcels
With the rapid development of e-commerce, last-mile delivery optimization is important for reduction in logistics cost of e-business enterprises. However, the complex road network structure in various cities m...
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Article
Blind source separation for the analysis sparse model
Sparsity of the signal has been shown to be very useful for blind source separation (BSS) problem which aims at recovering unknown sources from their mixtures. In this paper, we propose a novel algorithm based...
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Chapter and Conference Paper
Attack Transferability Characterization for Adversarially Robust Multi-label Classification
Despite of the pervasive existence of multi-label evasion attack, it is an open yet essential problem to characterize the origin of the adversarial vulnerability of a multi-label learning system and assess its...
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Chapter and Conference Paper
Confusable Learning for Large-Class Few-Shot Classification
Few-shot image classification is challenging due to the lack of ample samples in each class. Such a challenge becomes even tougher when the number of classes is very large, i.e., the large-class few-shot scena...
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Chapter and Conference Paper
Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation
Representation learning on graphs, as alternatives to traditional feature engineering, has been exploited in many application domains, ranging from e-commerce to computational biology. However, generating sati...
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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
Audiovisual cross-modal material surface retrieval
Cross-modal retrieval is developed rapidly because it can process the data among different modalities. Aiming at solving the problem that the text and image sometimes cannot perform the true and accurate analy...
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Article
An improved TLBO with logarithmic spiral and triangular mutation for global optimization
The teaching–learning-based optimization (TLBO) algorithm is a new optimization technique that has been successfully applied in various optimization fields. However, the TLBO still has a slow convergence rate ...
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Chapter and Conference Paper
Object Detection for Chinese Traditional Costume Images Based GRP-DSOD++ Network
The image object detection methods based on deep learning have achieved remarkable results in recent years. However, as object sizes of Chinese Traditional Costume Images (CTCI-4) data set are smaller than tha...
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Chapter and Conference Paper
Research on Urban Street Order Based on Data Mining Technology
With the promotion of urbanization, more and more people enjoy the happiness brought about by the urban development, but the type of problems and the amount of problems in urban management are increasing. Unde...
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Chapter and Conference Paper
Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clusters
Due to the restriction of computing resources, it is often inconvenient to directly conduct analysis on massive datasets. Instead, a set of representatives can be extracted to approximate the spatial distribu...
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Chapter and Conference Paper
HDP-Net: Haze Density Prediction Network for Nighttime Dehazing
Nighttime dehazing is a challenging ill-posed problem. Affected by unpredictable factors at night, daytime methods may be incompatible with night haze removal. In this paper, we propose an end-to-end learning-...
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Chapter and Conference Paper
Conditional Feature Coupling Network for Multi-persons Clothing Parsing
Clothing parsing provides some significant cues to analyze the dressing collocation and occasion. In this paper, we propose a novel clothing parsing framework with deep end-to-end conditional feature coupling ...
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Chapter and Conference Paper
Parallelized Contour Based Depth Map Coding in DIBR
Depth map is a critical factor in Depth-Image-Based-Rendering system. Conventionally the depth map is encoded with the block-based method, such as H.264/AVC or some MVC methods. The traditional coding strategy...
