41 Result(s)
within
Zhuo** **e
Computer Science
Information Systems Applications (incl. Internet)
Pattern Recognition
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Chapter and Conference Paper
A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection
The application of community detection (community discovery) has been widely used in various fields for several years. To improve the algorithm accuracy, we proposed a memetic algorithm based on an adaptive si...
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Chapter and Conference Paper
Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies
In the era of information explosion, recommender systems have been widely used to reduce information load nowadays. However, mainly traditional recommendation techniques only paid attention on improving recomm...
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Chapter and Conference Paper
An Adaptive Spatial Network for UAV Image Real-Time Semantic Segmentation
Unmanned aerial vehicle (UAV) aerial image interpretation plays an important role in the military and civilian files. The latest semantic segmentation methods are based on deep learning with different structur...
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Chapter and Conference Paper
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Recently backdoor attack has become an emerging threat to the security of deep neural network (DNN) models. To date, most of the existing studies focus on backdoor attack against the uncompressed model; while ...
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Chapter and Conference Paper
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Video-to-Video synthesis (Vid2Vid) has achieved remarkable results in generating a photo-realistic video from a sequence of semantic maps. However, this pipeline suffers from high computational cost and long i...
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Chapter and Conference Paper
Code Representation Based on Hybrid Graph Modelling
Several sequence- or abstract syntax tree (AST)-based models have been proposed for modelling lexical-level and syntactic-level information of source code. However, an effective method of learning code semanti...
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Chapter and Conference Paper
Character Prediction in TV Series via a Semantic Projection Network
The goal of this paper is to automatically recognize characters in popular TV series. In contrast to conventional approaches which rely on weak supervision afforded by transcripts, subtitles or character facia...
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Chapter and Conference Paper
Deep Reinforcement Learning for Automatic Thumbnail Generation
An automatic thumbnail generation method based on deep reinforcement learning (called RL-AT) is proposed in this paper. Differing from previous saliency-based and deep learning-based methods which predict the ...
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Chapter and Conference Paper
Target-Based Attention Model for Aspect-Level Sentiment Analysis
Aspect-level sentiment classification, which aims to determine the sentiment polarity of the specific target word or phrase of a sentence, is a crucial task in natural language processing (NLP). Previous works...
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Chapter and Conference Paper
Semantic Segmentation Based Automatic Two-Tone Portrait Synthesis
This paper presents a semantic segmentation based method for automatically synthesizing two-tone cartoon portraits in black-and-white style. Synthesizing two-tone portraits from photographs can be considered a...
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Chapter and Conference Paper
Automatic Tongue Image Segmentation for Traditional Chinese Medicine Using Deep Neural Network
Automatic tongue image segmentation is a key technology for the research on tongue characterization in Traditional Chinese Medicine. Due to the complexity of automatic tongue image segmentation, the automation...
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Chapter and Conference Paper
A Cross-Domain Lifelong Learning Model for Visual Understanding
In the study of media machine perception on image and video, people expect the machine to have the ability of lifelong learning like human. This paper, starting from anthropomorphic media perception, researche...
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Chapter and Conference Paper
Recognition Oriented Feature Hallucination for Low Resolution Face Images
In face recognition, Low Resolution (LR) images will lead to the decline of the recognition rate. In this paper, we propose a novel recognition oriented feature hallucination method to map the features of a L...
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Chapter and Conference Paper
Creating Spectral Words for Large-Scale Hyperspectral Remote Sensing Image Retrieval
Content-Based Image Retrieval (CBIR) for common images has been thoroughly explored in recent years, but little attention has been paid to hyperspectral remote sensing images. How to extract appropriate hypers...
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Chapter and Conference Paper
Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery
Pixel Purity Index (PPI) is one of effective endmember extraction algorithms, which is a processing technique designed to determine which pixels are the most spectrally unique or pure. This paper proposes an a...
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Chapter and Conference Paper
Bayesian Network Structure Learning from Big Data: A Reservoir Sampling Based Ensemble Method
Bayesian network (BN) learning from big datasets is potentially more valuable than learning from conventional small datasets as big data contain more comprehensive probability distributions and richer causal r...
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Chapter and Conference Paper
Real-Time Event Detection with Water Sensor Networks Using a Spatio-Temporal Model
Event detection with the spatio-temporal correlation is one of the most popular applications of wireless sensor networks. This kind of task trends to be a difficult problem of big data analysis due to the mass...
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Chapter and Conference Paper
Multidimensional Context Awareness in Mobile Devices
With the increase of mobile computation ability and the development of wireless network transmission technology, mobile devices not only are the important tools of personal life (e.g., education and entertainm...
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Chapter and Conference Paper
Perceptual Quality Improvement for Synthesis Imaging of Chinese Spectral Radioheliograph
Chinese Spectral Radioheliography can generate the images of the Sun with good spatial resolutions. It employs the Aperture Synthesis principle to image the Sun with plentiful solar radio activities. However...
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Chapter and Conference Paper
Submodular Reranking with Multiple Feature Modalities for Image Retrieval
We propose a submodular reranking algorithm to boost image retrieval performance based on multiple ranked lists obtained from multiple modalities in an unsupervised manner. We formulate the reranking problem a...
