59 Result(s)
within
English
Computer Science
Computer Systems Organization and Communication Networks
Image Processing and Computer Vision
**g-** Ge
Chapter
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Chapter and Conference Paper
Statutes Recommendation Using Classification and Co-occurrence Between Statutes
In the trial process, it is difficult and tedious for judges to find appropriate statutes to decide cases, especially complicated cases. In this paper, we propose a method to recommend statutes that are appli...
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Chapter and Conference Paper
Automatically Classifying Chinese Judgment Documents Using Character-Level Convolutional Neural Networks
Judgment is a decision by a court or other tribunal that resolves a controversy and determines the rights and obligations of the parties. Since the establishment of the China Judgments Online System, more and ...
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Chapter and Conference Paper
An Improved Artificial Immune System Model for Link Prediction
Currently, online social network has derived a series of hot research problems, such as link prediction. Many results in undirected and dynamic network have been achieved. Targeted at on-line microblogs, this ...
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Chapter and Conference Paper
End-to-End Bloody Video Recognition by Audio-Visual Feature Fusion
With the rapid development of Internet technology, the spread of bloody video has become increasingly serious, causing huge harm to society. In this paper, a bloody video recognition method based on audio-vis...
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Chapter and Conference Paper
RC-CNN: Reverse Connected Convolutional Neural Network for Accurate Player Detection
Player detection is a valuable but challenging task in computer vision due to the specific application scenes, like motion blur, changing illumination, multi-scale players and so on. To get better detection re...
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Chapter and Conference Paper
Self-Paced Densely Connected Convolutional Neural Network for Visual Tracking
Convolutional neural networks (CNNs) have achieved surprising results in visual tracking. To address the model drift problem, we propose a novel self-paced densely connected convolutional neural netwrok (SPDCT...
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Chapter and Conference Paper
A Sparse Substitute for Deconvolution Layers in GANs
Generative adversarial networks are useful tools in image generation task, but training and running them are relatively slow due to the large amount parameters introduced by their generators. In this paper, S-...
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Chapter and Conference Paper
Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network
The aesthetic quality assessment of images is a challenging work in the field of computer vision because of its complex subjective semantic information. The recent research work can utilize the deep convolutio...
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Chapter and Conference Paper
Blind Deblurring Using Discriminative Image Smoothing
This paper aims to exploit the full potential of gradient-based methods, attempting to explore a simple, robust yet discriminative image prior for blind deblurring. The specific contributions are three-fold: ...
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Chapter and Conference Paper
Experimental Research on Internet Ecosystem and AS Hierarchy
The network architecture has undergone great changes. For example, the network topology of autonomous system level tends to be flattened. In this paper, actual network topology map is constructed through actua...
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Chapter and Conference Paper
Exploiting Recommender Systems in Collaborative Healthcare
With the development of new medical auxiliaries such as virtual reality and surgery robotics, recommender systems are emerged to interact with the medical auxiliaries and support doctor’s decisions and operati...
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Chapter and Conference Paper
Word Segmentation for Chinese Judicial Documents
Word segmentation is an integral step in many knowledge discovery applications. However, existing word segmentation methods have problems when applying to Chinese judicial documents: (1) existing methods rely ...
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Chapter and Conference Paper
Multi-source Manifold Outlier Detection
Outlier detection is an important task in data mining, with many practical applications ranging from fraud detection to public health. However, with the emergence of more and more multi-source data in many rea...
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Chapter and Conference Paper
DCT: Differential Combination Testing of Deep Learning Systems
Deep learning (DL) systems are increasingly used in security-related fields, where the accuracy and predictability of DL systems are critical. However the DL models are difficult to test and existing DL testin...
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Chapter and Conference Paper
Dense Receptive Field Network: A Backbone Network for Object Detection
Although training object detectors with ImageNet pre-trained models is very common, the models designed for classification are not suitable enough for detection tasks. So, designing a special backbone network ...
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Chapter and Conference Paper
A Combined Deep Learning and Semi-supervised Classification Algorithm for LS Area
In real world, there are many areas with Large images but only Small labelled (we called LS area), in there supervised and unsupervised algorithm can’t work well, but semi-supervised technology exploiting pattern...
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Chapter and Conference Paper
Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning
In this work, we mainly study the mechanism of learning the steganographic algorithm as well as combining the learning process with adversarial learning to learn a good steganographic algorithm. To handle the ...
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Chapter and Conference Paper
Multi-vehicle Detection and Tracking Based on Kalman Filter and Data Association
Environment perception is an important issue for autonomous driving applications. Vehicle detection and tracking is one of the most serious challenges and plays a crucial role for environment perception. Consi...
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Chapter and Conference Paper
Evaluation System for Reasoning Description of Judgment Documents Based on TensorFlow CNN
In order to improve the quality of the judgment documents, the state and government have introduced laws and regulations. However, the current status of trials in our country is that the number of cases is ver...
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Chapter and Conference Paper
Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-domain Image Translation
Multi-domain image translation with unpaired ...
