21 Result(s)
within
Conference Paper
**ngli Li
Computer Communication Networks
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Chapter and Conference Paper
A Robust, Efficient, and Fast Global Motion Estimation Method from MPEG Compressed Video
In the field of content-based visual information, detection of visual features is a significant topic. In order to process video data efficiently, visual features extraction is required. Many of the advanced v...
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Chapter and Conference Paper
A Distributed Dynamic μFirewall Architecture with Mobile Agents and KeyNote Trust Management System
Due to end-to-end design principle in distributed applications, many emerging security problems could not be solved by conventional security technologies, such as firewalls and IDSs. To address these problems,...
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Chapter and Conference Paper
EIF: A Framework of Effective Entity Identification
Entity identification, that is to build corresponding relationships between objects and entities in dirty data, plays an important role in data cleaning. The confusion between entities and their names often re...
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Chapter and Conference Paper
Research on Constitution and Application of Digital Learning Resources of Wu Culture
As splendid traditional culture, Wu Culture plays a very important role in accelerating the constructing of school culture and human resources training. With the increasing demands for Wu culture resources of ...
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Chapter and Conference Paper
A Multi-parameter Integrated Water Quality Sensors System
Because of the rapid development of aquaculture in China at present, it is more and more urgent to apply hi-tech devices in aquaculture field to guarantee its efficiency. There are already many devices used fo...
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Chapter and Conference Paper
A Prediction Model Based on Time Series Data in Intelligent Transportation System
Intelligent Transportation System has a new kind of complicated time series data which would be the traffic flow, average speed or some other traffic condition information at the same time period. All above da...
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Chapter and Conference Paper
A Fast Granular Method for Classifying Incomplete Inconsistent Data
Today extracting knowledge from “inferior quality” data that is characterized by incompleteness and inconsistency is an unavoidable and challenging topic in the field of data mining. In this paper, we propose ...
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Chapter and Conference Paper
Age Estimation via Pose-Invariant 3D Face Alignment Feature in 3 Streams of CNN
This paper proposes an algorithm for age estimation intentionally considering the pose variation and local deformation of faces. Pose-invariant patches are extracted in face region, and they are located from t...
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Chapter and Conference Paper
Source Selection for Inconsistency Detection
Inconsistencies in a database can be detected based on violations of integrity constraints, such as functional depencies (FDs). In big data era, many related data sources give us the chance of detecting incons...
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Chapter and Conference Paper
WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks
The recommendation quality of new users plays an increasingly important role in recommender systems. Collaborative Filtering cannot handle the cold-start problem, while the content-based approach sometimes can...
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Chapter and Conference Paper
Semi-fragile Watermarking Algorithm Based on Arnold Scrambling for Three-Layer Tamper Localization and Restoration
To protect the content integrity, authenticity and improve the effect of tamper localization and recovery, this paper designs and implements a semi-fragile watermark based on Arnold transformation, which is us...
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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
Integration of Big Data: A Survey
Data integration provides users a uniform interface for multiple heterogonous data sources. This problem has attracted a large amount of attention from both research and industry areas. In this paper, we overv...
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Chapter and Conference Paper
Efficient Source Selection for Error Detection via Matching Dependencies
Data dependencies have been widely used in error detection. However, errors might not be detected when the target data set is sparse and no conflicts occur. With a rapid increase in the number of data sources ...
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Chapter and Conference Paper
Blind Quality Assessment Method to Evaluate Cloud Removal Performance of Aerial Image
People often use image-inpainting-based methods to remove cloud from aerial images, but it lacks a targeted quantitative evaluator to assess the removal result. In order to solve this issue to some extent, we ...
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Chapter and Conference Paper
Compiler-Assisted Operator Template Library for DNN Accelerators
Despite many dedicated accelerators are gaining popularity for their performance and energy efficiency in the deep neural network (DNN) domain, high-level programming support for these accelerators remains thi...
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Chapter and Conference Paper
Cross-Stage Class-Specific Attention for Image Semantic Segmentation
Recent backbones built on transformers capture the context within a significantly larger area than CNN, and greatly improve the performance on semantic segmentation. However, the fact, that the decoder utilize...
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Chapter and Conference Paper
Blind Perceptual Quality Assessment for Single Image Motion Deblurring
Single image deblurring is a typical ill-posed problem. Although a lot of effective algorithms have been proposed, there is a lack of blind evaluation metrics for the perceptual quality of deblurred images. In...
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Chapter and Conference Paper
Automatic Detection of Obstructive Sleep Apnea Based on Multimodal Imaging System and Binary Code Alignment
There are many patients with obstructive sleep apnea syndrome, which has caused concern. When it occurs, the nasal airflow disappears, and the breathing action of the chest and abdomen still exists. Therefore,...
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Chapter and Conference Paper
Hidden Human Target Detection Model Inspired by Physiological Signals
The current object detection algorithms will give unsatisfactory performance on the task of detecting hidden human targets. Therefore, in the current work, we propose a physiological signals powered hidden hum...
