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Chapter and Conference Paper
Visual Features Extracting & Selecting for Lipreading
This paper has put forward a way to select and extract visual features effectively for lipreading. These features come from both lowlevel and high-level, those are compensatory each other. There are 41 dimensi...
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Chapter and Conference Paper
A Hybrid Approach to Extracting Tooth Models from CT Volumes
As the tooth root has similar bone density to the jaw where it is embedded, its complete boundaries are either missing or at low contrast in the computed tomography (CT) volume data. This paper proposes a hybr...
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Chapter and Conference Paper
Propagation of Geometric Tolerance Zones in 3D
This paper considers error propagation in three dimensional geometric constructions using a geometric approach. First, we present definitions and constructions of tolerance zones for various fundamental elemen...
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Chapter and Conference Paper
Construction and Application of PSO-SVM Model for Personal Credit Scoring
The parameters of support vector machine (SVM) are crucial to the model’s classification performance. Aiming at the randomicity of selecting the parameters in SVM, this paper constructed a PSO-SVM model by usi...
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Chapter and Conference Paper
Practical Error Analysis of Cross-Ratio-Based Planar Localization
Recently, more and more computer vision researchers are paying attention to error analysis so as to fulfill various accuracy requirements arising from different applications. As a geometric invariant under pro...
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Chapter and Conference Paper
AIMED- A Personalized TV Recommendation System
Previous personalized DTV recommendation systems focus only on viewers’ historical viewing records or demographic data. This study proposes a new recommending mechanism from a user oriented perspective. The re...
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Chapter and Conference Paper
Multi-media e-Learning Platform Using Green Design with Near-Real Approach
The most of e-Learning and video conference platform receives the limitation of population and the file format, the inconvenience to the users, and requirement of specific software. This paper proposes an effe...
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Chapter and Conference Paper
The Experience of Adopting Game-Based Learning in Library Instruction
The research is based on the course of library instruction and also a pilot study before adopting game-based learning into real library instruction course. The difficulty of the research is how we can make the...
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Chapter and Conference Paper
An Improved Adaptive Smoothing Method
An improvement of the Chen’s method has been provided through the calculation of a more accurate H map. The H map is the pixel’s contextual inhomogeneity value reflecting its proximity position with respect to...
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Chapter and Conference Paper
Identifying Approximate Palindromes in Run-Length Encoded Strings
We study the problem of identifying palindromes in compressed strings. The underlying compression scheme is called run-length encoding, which has been extensively studied and widely applied in diverse areas. G...
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Chapter and Conference Paper
A Study of Cooperative and Collaborative Online Game-Based Learning Systems
The study employs the quasi-experiment method to evaluate teaching achievements. The learning achievements of the two online game-type computer assisted learning systems are significantly better than that of c...
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Chapter and Conference Paper
Non-user-Specific Multivariate Biometric Discretization with Medoid-Based Segmentation
Univariate discretization approach that transforms continuous attributes into discrete elements/binary string based on discrete/binary feature extraction on a single dimensional basis have been attracting much...
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Chapter and Conference Paper
Distance Entropy as an Information Measure for Binary Biometric Representation
To uphold the security of individuals, analyzing the amount of information in binary biometric representation is highly essential. While Shannon entropy is a measure to quantify the expected value of informati...
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Chapter and Conference Paper
Discriminant Spectral Hashing for Compact Palmprint Representation
When palmprint recognition needs to be run in the device with low processing and small storage capacities, binary representation with low storage overhead, high matching speed and high discrimination power is ...
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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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Article
Novel design of cryptosystems for video/audio streaming via dynamic synchronized chaos-based random keys
In this paper, a novel chaos-based cryptosystem is proposed to ensure the communication security of video/audio streaming in the network environment. Firstly, by the proposed synchronization controller for the...
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Article
Trapezoid-structured LSTM with segregated gates and bridge joints for video frame inpainting
This work considers the video frame inpainting problem, where several former and latter frames are given, and the goal is to predict the middle frames. The state-of-the-art solution has applied bidirectional l...
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Article
HAPiCLR: heuristic attention pixel-level contrastive loss representation learning for self-supervised pretraining
Recent self-supervised contrastive learning methods are powerful and efficient for robust representation learning, pulling semantic features from different crop** views of the same image while pushing other ...