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Chapter and Conference Paper
Reimagining China-US Relations Prediction: A Multi-modal, Knowledge-Driven Approach with KDSCINet
Statistical models and data driven models have achieved remarkable results in international relation forecasting. However, most of these models have several common drawbacks, including (i) rely on large amount...
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Chapter and Conference Paper
The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published...
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Article
Efficient heterogeneous integration of InP/Si and GaSb/Si templates with ultra-smooth surfaces
Heterogeneous integration of InP and GaSb on Si substrates holds a huge potential interest in near-infrared and mid-infrared optoelectronic devices. In this study, 2-inch 180-nm-thick InP and 185-nm-thick GaSb...
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Chapter and Conference Paper
FAV-BFT: An Efficient File Authenticity Verification Protocol for Blockchain-Based File-Sharing System
Compared with traditional file-sharing system, the blockchain-based file-sharing system shows its superiority, such as electronic money incentive mechanism, decentralisation, information tamper resistance and ...
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Chapter and Conference Paper
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Is intelligence realized by connectionist or classicist? While connectionist approaches have achieved superhuman performance, there has been growing evidence that such task-specific superiority is particularl...
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Article
GPU-accelerated 2D OTSU and 2D entropy-based thresholding
Image thresholding methods are commonly used to distinguish foreground objects from a background. 2D thresholding methods consider both the value of a pixel and the mean of the pixel’s neighbors, so they are l...
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Chapter and Conference Paper
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers publish...
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Article
Correction to: Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
The original author list did not accurately reflect the contributions of the following colleagues.
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Chapter and Conference Paper
DTAST: A Novel Radical Framework for de Novo Transcriptome Assembly Based on Suffix Trees
In this article, we develop a novel radical framework for de novo transcriptome assembly based on suffix trees, called DTAST. DTAST extends contigs by reads that have the longest overlaps with the contigs’ termin...
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Chapter and Conference Paper
IsoTree: De Novo Transcriptome Assembly from RNA-Seq Reads
High-throughput sequencing of mRNA has made the deep and efficient probing of transcriptomes more affordable. However, the vast amounts of short RNA-seq reads make de novo transcriptome assembly an algorithmic...
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Chapter and Conference Paper
The Visual Object Tracking VOT2016 Challenge Results
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a l...
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Chapter and Conference Paper
Cryptanalysis and Improvement of an ECC-Based Password Authentication Scheme Using Smart Cards
Remote password authentication has been widely used in network systems and it aims to provide secure remote access control. In 2013, Li proposed a novel password authentication scheme based on elliptic curve c...
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Chapter and Conference Paper
Analysis of the Relationship between Load and EEG by Wavelet Transform for BMI
Recently, a variety of researches and developments on BMIs attract many researchers’ attentions. However, most of these BMI researches intend to assist the disabled. The purpose of this study is the developmen...
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Article
A sampling approach for skyline query cardinality estimation
A skyline query returns a set of candidate records that satisfy several preferences. It is an operation commonly performed to aid decision making. Since executing a skyline query is expensive and a query plan ...
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Chapter and Conference Paper
Join Selectivity Re-estimation for Repetitive Queries in Databases
Repetitive queries refer to those queries that are likely to be executed repeatedly in the future. Examples of repetitive queries include those that are used to generate periodic reports, perform routine maint...
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Article
Gamma/X-ray linear pushbroom stereo for 3D cargo inspection
For evaluating the contents of trucks, containers, cargo, and passenger vehicles by a non-intrusive gamma-ray or X-ray imaging system to determine the possible presence of contraband, three-dimensional (3D) me...
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Chapter and Conference Paper
A Novel Ant Colony Optimization Algorithm in Application of Pheromone Diffusion
Ant Colony Optimization (ACO) Algorithm is a novel stochastic search technology, which simulates the social behavior of ant colony. This paper firstly analyzes the shortcomings of basic ACO, then presents an e...
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Article
A relational model for XML structural joins and their size estimations
XML structural joins, which evaluate the containment (ancestor-descendant) relationships between XML elements, are important operations of XML query processing. Estimating structural join size accurately and q...
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Article
Query optimization via contention space partitioning and cost error controlling for dynamic multidatabase systems
A multidatabase system (MDBS) integrates information from multiple autonomous local databases. Performing global query optimization to achieve efficient query processing in such a system is challenging due to ...
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Chapter and Conference Paper
Acoustic Speaker Identification: The LIMSI CLEAR’07 System
The CLEAR 2007 acoustic speaker identification task aims to identify speakers in CHIL seminars via the acoustic channel. The LIMSI system for this task consists of a standard Gaussian mixture model based syste...