16 Result(s)
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Article
Reliability analysis of complete cubic networks based on extra conditional fault
The reliability of multiprocessor systems is now a crucial concern in parallel computing, which can be characterized as connectivity and diagnosability. The s-extra connectivity (s-EC)
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Article
Hamiltonian cycle embedding with fault-tolerant edges and adaptive diagnosis in half hypercube
Diagnosis is an important technique for fault detection and location in interconnection network. The half hypercube, constructed from the hypercube, has been proven to possess several advantageous properties f...
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Article
Rail Line Detection Algorithm Based on Improved CLRNet
In smart driving for rail transit, a reliable obstacle detection system is an important guarantee for the safety of trains. Therein, the detection of the rail area directly affects the accuracy of the system t...
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Article
Modeling visual aesthetic perception: bridges between computed texture features and perceived beauty qualities in semantic experiments
The exploration of the potential relationship between computable low-level texture, such as features extracted from color and texture, and the perceived high-level aesthetic properties, such as warm or cold, s...
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Article
Incremental Bayesian broad learning system and its industrial application
Broad learning system (BLS) is viewed as a class of neural networks with a broad structure, which exhibits an efficient training process through incremental learning. An incremental Bayesian framework broad le...
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Article
A multiple surrogates based PSO algorithm
Particle swarm optimization (PSO) usually requires a large number of fitness evaluations to obtain a sufficiently good solution, which poses an obstacle for applying PSO to computationally expensive problems. ...
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Article
Real-time camera pose estimation via line tracking
Real-time camera calibration has been intensively studied in augmented reality. However, for texture-less and texture-repeated scenes as well as poorly illuminated scenes, obtaining a stable calibration is sti...
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Article
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks
Reliable prediction intervals (PIs) construction for industrial time series is substantially significant for decision-making in production practice. Given the industrial data feature of high level noises and i...
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Article
Light mixture intrinsic image decomposition based on a single RGB-D image
We propose a novel intrinsic image decomposition method based on a single RGB-D image. We first separate the shading image into an illumination color component, a distant shading component and a local shading ...
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Article
A polynomial case of convex integer quadratic programming problems with box integer constraints
In this paper, we study a special class of convex quadratic integer programming problem with box constraints. By using the decomposition approach, we propose a fixed parameter polynomial time algorithm for suc...
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Article
Erratum to: Color face image decomposition under complex lighting conditions
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Article
Color face image decomposition under complex lighting conditions
In this paper, we proposed a method to recover the reflectance and shading images of face images, such as portraits, captured under complex lighting conditions. Under such lighting conditions, traditional intr...
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Article
On social computing research collaboration patterns: a social network perspective
The field of social computing emerged more than ten years ago. During the last decade, researchers from a variety of disciplines have been closely collaborating to boost the growth of social computing research...
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Chapter and Conference Paper
Complete Convergence for NA Random Sequence
The classical complete convergence theorem concerns the arithmetic means which is a regular method of summability. In this paper, to obtain the main results, a new large class of summability methods is introdu...
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Article
Light source estimation of outdoor scenes for mixed reality
Illumination consistency is important for photorealistic rendering of mixed reality. However, it is usually difficult to acquire illumination conditions of natural environments. In this paper, we propose a nov...
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Article
Generalized Nonlinear Lagrangian Formulation for Bounded Integer Programming
Several nonlinear Lagrangian formulations have been recently proposed for bounded integer programming problems. While possessing an asymptotic strong duality property, these formulations offer a success guaran...
