International Conference on Knowledge and Systems Engineering (KSE)
2018 10th International Conference on Knowledge and Systems Engineering (KSE)
1-3 Nov. 2018
Showing 1-25 of 81
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The proceedings of this conference will be available for purchase through Curran Associates.
Knowledge and Systems Engineering (KSE), 2018 10th International Conference on
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KSE 2018 List Reviewer Page
Provides an abstract of the keynote presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.Show More
Provides an abstract of the keynote presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.Show More
Provides an abstract of the keynote presentation and may include a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.Show More
KSE 2018 Author Index
KSE 2018 Subject Index Page
KSE 2018 Last Page
Efficient Depth Image Reconstruction using Accelerated Proximal Gradient Method
Publication Year: 2018,Page(s):1 - 6
Cited by: Papers (4)
This paper presents an accelerated proximal gradient technique for depth image reconstruction from incomplete data samples. One of the most technical challenges in depth imaging is to estimate a depth image from sparse measurements obtained due to missing depth values or fast sensing. Recent advances in signal processing, i.e., compressive sensing (CS) allows the depth image to be reconstructed pr...Show More
A New Convolutional Architecture for Vietnamese Car Plate Recognition
Publication Year: 2018,Page(s):7 - 12
Cited by: Papers (12)
License plate recognition is a form of an intelligent transportation system. Although, there have been many studies on plate detection, character segmentation, and character recognition, many challenges have still remained. Convolutional Neural Network (CNN) has proven to be a powerful classification tool to achieve state-of-the-art results on various recognition tasks. In the problem of number pl...Show More
Speeding Up Convolutional Object Detection for Traffic Surveillance Videos
Publication Year: 2018,Page(s):13 - 18
Cited by: Papers (1)
Two important factors that decide the applicability of an object detection system are accuracy and speed. Modern convolutional object detection methods have achieved the accuracy level acceptable for a wide range of applications, but the most accurate ones are computationally expensive, requiring powerful hardware to achieve real-time detection. There is often a tradeoff between accuracy and compl...Show More
UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis
Kiet Van Nguyen;Vu Duc Nguyen;Phu X. V. Nguyen;Tham T. H. Truong;Ngan Luu-Thuy Nguyen
Publication Year: 2018,Page(s):19 - 24
Cited by: Papers (38)
Students' feedback is a vital resource for the interdisciplinary research combining of two fields: sentiment analysis and education. To strengthen the sentiment analysis of the Vietnamese language which is a low-resource language, we build a Vietnamese Students' Feedback Corpus (UIT-VSFC), a free and high-quality corpus for research on two different tasks: sentiment-based and topic-based classific...Show More
Effective Attention Networks for Aspect-level Sentiment Classification
Publication Year: 2018,Page(s):25 - 30
Cited by: Papers (29)
This paper deals with the aspect-level sentiment classification which identifies the sentiment polarity of a specific aspect of its context. We introduce novel attention networks by using the benefits of Long Short-Term Memory (LSTM), Attention mechanisms and Lexicons to form an aspect-specific representation. Though a variety of neural network models have been proposed recently, however, previous...Show More
Learning to Estimate the Importance of Sentences for Multi-Document Summarization
Minh-Tien Nguyen;Thi-Hai-Nang Nguyen;Hoang-Diep Nguyen;Van-Hau Nguyen
Publication Year: 2018,Page(s):31 - 36
Cited by: Papers (3)
Sentence scoring is a vital step in an extractive summarization system. This paper presents a model for improving the quality of the scoring step, which benefits sentence selection to extract high-quality summaries. Different from previous methods, our model takes advantage of local information (inside a single document) and global information (on the whole corpus). The combination allows defining...Show More
Protozoa Identification using 3D Geometric Multiple Color Channel Local Feature
Khoa Pho;Takafumi Hirase;Muhamad Kamal Mohammed Amin;Atsuo Yoshitaka
Publication Year: 2018,Page(s):37 - 42
Cited by: Papers (2)
Protozoa identification plays an important role in parasitology in order to give right analyses and treatments. Previous identification methods analyze protozoa using morphology on microscopic images. In this work, we focus on a set of specific species which cause disease to human such asGiardia lambia, Iodamoeba butchilii, Toxoplasma gondi, Cyclospora cayetanensis, Balantidium coli, Sarcocystis, ...Show More
Novel Skeleton-based Action Recognition Using Covariance Descriptors on Most Informative Joints
Tien-Nam Nguyen;Dinh-Tan Pham;Thi-Lan Le;Hai Vu;Thanh-Hai Tran
Publication Year: 2018,Page(s):50 - 55
Cited by: Papers (14)
Human action recognition has attracted much attention of research community in recent years due to its large application domain such as human-robot interaction, gaming, surveillance, etc. Action recognition can be implemented in either single-modal (color, depth, skeletal) or multi-modal schemes. Our research focuses on human action recognition based on skeletal information. In literature, a Tempo...Show More
An improved QR decomposition for color image watermarking
Publication Year: 2018,Page(s):56 - 60
Cited by: Papers (2)
Beside many other algorithms such as Singular Value Decomposition (SVD), Discreet Cosine Transform (DCT) and Discrete Wavelet Transform (DWT), QR decomposition is known as an effective method for embedding and extracting watermarked image. In QR decomposition, Gram-Schmidt and Householder [10] are the most popular two algorithms. In this paper, QR factorization is executed by exploiting orthogonal...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Knowledge and Systems Engineering (KSE), 2018 10th International Conference on
- Print on DemandPurchase at Partner
- External Hard-drivePurchase at Partner
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