43 Result(s)
within
English
Artificial Intelligence
Dong-**ng Wang
Chapter
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Chapter and Conference Paper
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data
Subspace clustering has been gaining increasing attention in recent years due to its promising ability in dealing with high-dimensional data. However, most of the existing subspace clustering methods tend to ...
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Chapter and Conference Paper
Strong Baselines for Author Name Disambiguation with and Without Neural Networks
Author name disambiguation (AND) is one of the most vital problems in scientometrics, which has become a great challenge with the rapid growth of academic digital libraries. Existing approaches for this task s...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Chapter and Conference Paper
The Service Design of Medication Administration System Based on IoT
Medication is the most common way for patients to combat illness, and following the doctor’s advice on taking medication has a tremendous impact on a patient’s healing speed. But due to a variety of conditions...
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Chapter and Conference Paper
Application of Growth Curve in Agricultural Scientific Research
This paper introduces the application of logistic curve in agricultural science, and gives a division method of parameter estimation of logistic curve. Because the logistic curve contains three parameters, it ...
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Chapter and Conference Paper
China’s Wine Import Industry: An Economic Analysis of Influencing Trade Factors
In recent years, China is undergoing a huge economic transformation since joining in World Trade Organization (WTO) and it has showed an increasing demand for wine. As China’s wine consumption market is increa...
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Chapter and Conference Paper
The Study of the Work Parameters of the Corn Harvester Cutter
In this paper, the analytical method of multivariate variance is applied to study the function of the various performance factors of the straight-edge cylindrical cutter. Research results indicate that the mai...
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Chapter and Conference Paper
Effects of Exogenous Gamma-Aminobutyric Acid on Absorption and Regulation of Ion in Wheat Under Salinity Stress
Gamma-aminobutyric acid (GABA), a four-carbon non-protein amino acid, is a significant component of the free amino acid pool, there are numerous reports that rapid and large increases in GABA levels occur in p...
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Chapter and Conference Paper
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
In this paper, we describe the Perceptual Image Restoration and Manipulation (PIRM) workshop challenge on spectral image super-resolution, motivate its structure and conclude on results obtained by the partici...
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Chapter and Conference Paper
Gated Convolutional LSTM for Speech Commands Recognition
As the mobile device gaining increasing popularity, Acoustic Speech Recognition on it is becoming a leading application. Unfortunately, the limited battery and computational resources on a mobile device highly...
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Chapter and Conference Paper
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks
Image segmentation is a crucial step in many computer-aided medical image analysis tasks, e.g., automated radiation therapy. However, low tissue-contrast and large amounts of artifacts in medical images, i.e., CT...
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Chapter and Conference Paper
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis
Autism spectrum disorder (ASD) is mainly diagnosed by the observation of core behavioral symptoms. Due to the absence of early biomarkers to detect infants either with or at-risk of ASD during the first postnatal...
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Chapter and Conference Paper
Learning to Navigate for Fine-Grained Classification
Fine-grained classification is challenging due to the difficulty of finding discriminative features. Finding those subtle traits that fully characterize the object is not straightforward. To handle this circum...
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Chapter and Conference Paper
Real-Time ‘Actor-Critic’ Tracking
In this work, we propose a novel tracking algorithm with real-time performance based on the ‘Actor-Critic’ framework. This framework consists of two major components: ‘Actor’ and ‘Critic’. The ‘Actor’ model ai...
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Chapter and Conference Paper
Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN
Clinically, the transthalamic plane of the fetal head is manually examined by sonographers to identify whether it is a standard plane. This examination routine is subjective, time-consuming and requires compre...
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Chapter and Conference Paper
YOGAR-CBMC: CBMC with Scheduling Constraint Based Abstraction Refinement
This paper presents the Yogar-CBMC tool for verification of multi-threaded C programs. It employs a scheduling constraint based abstraction refinement method for bounded model checking of concurrent programs. To ...
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Chapter and Conference Paper
Deep Gabor Scattering Network for Image Classification
Deep learning models obtain exponential ascension in the field of image classification in recent years, and have become the most active research branch in AI research. The success of deep learning prompts us t...
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Chapter and Conference Paper
Deep Attentional Features for Prostate Segmentation in Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) is of essential importance for image-guided prostate biopsy and treatment planning. However, develo** such automatic solutions remains very ch...
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Chapter and Conference Paper
Generalizing Deep Models for Ultrasound Image Segmentation
Deep models are subject to performance drop when encountering appearance discrepancy, even on congeneric corpus in which objects share the similar structure but only differ slightly in appearance. This perform...
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Chapter and Conference Paper
Shot Boundary Detection with Spatial-Temporal Convolutional Neural Networks
Nowadays, digital videos have been widely leveraged to record and share various events and people’s daily life. It becomes urgent to provide automatic video semantic analysis and management for convenience. Sh...
