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Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration
In recent years, point cloud registration has achieved great success by learning geometric features with deep learning techniques. However, existing...
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Distributed convex optimization for nonlinear multi-agent systems disturbed by a second-order stationary process over a digraph
In this paper, we investigate the distributed convex optimization problem for a class of nonlinear multi-agent systems disturbed by random noise over...
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Fast target-aware learning for few-shot video object segmentation
Few-shot video object segmentation (FSVOS) aims to segment a specific object throughout a video sequence when only the first-frame annotation is...
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Universal enzymatic numerical P systems with small number of enzymatic variables
Numerical P systems (for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics....
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Advancements in pigeon-inspired optimization and its variants
The returning of homing pigeons to their lofts from remote and unfamiliar locations with great accuracy remains a mystery. Pigeon-inspired...
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A Gaussian copula regression model for movie box-office revenues prediction
In this article, we revisit the task of movie box-office revenues prediction using multi-type features. The movie box-office revenues are affected by...
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Robust dense reconstruction by range merging based on confidence estimation
Although the stereo matching problem has been extensively studied during the past decades, automatically computing a dense 3D reconstruction from...
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Distributed regression estimation with incomplete data in multi-agent networks
In this paper, distributed regression estimation problem with incomplete data in a time-varying multi-agent network is investigated. Regression...
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A secure rational quantum state sharing protocol
A novel rational protocol to share two arbitrary qubits among multiple parties is investigated in this paper. First, the protocol is presented, which...
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Auxo: an architecture-centric framework supporting the online tuning of software adaptivity
Adaptivity is the capacity of software to adjust itself to changes in its environment. A common approach to achieving adaptivity is to introduce...
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The incremental subgradient methods on distributed estimations in-network
A unified framework on distributed estimations in-network using incremental subgradient (IS) methods is introduced. The IS methods meet the...
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An efficient spherical map** algorithm and its application on spherical harmonics
The sphere is a natural and seamless parametric domain for closed genus-0 surfaces. We introduce an efficient hierarchical optimization approach for...
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Current oscillations and low-frequency noises in GaAs MESFET channels with sidegating bias
Low-frequency noises (LFN) and noise-like oscillations (NLO) in GaAs metal semiconductor field effect transistor (MESFET) channel current were...