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Gene selection in a single cell gene decision space based on class-consistent technology and fuzzy rough iterative computation model
This study explores gene selection in a single cell gene decision space ( scgd -space) based on class-consistent technology and fuzzy rough iterative...
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Streaming Graph-Based Supervoxel Computation Based on Dynamic Iterative Spanning Forest
Streaming video segmentation decreases processing time by creating supervoxels taking into account small parts of the video instead of using all...
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Fast computation of General SimRank on heterogeneous information network
Similarity computation is a fundamental aspect of information network analysis, underpinning many research tasks including information retrieval,...
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TimeLink: enabling dynamic runtime prediction for Flink iterative jobs
With the increasing growth of data scale and computing complexity, Flink, a novel distributed computing system, has been applied in various scenarios...
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Modified and accelerated relaxed gradient-based iterative algorithms for the complex conjugate and transpose matrix equations
In this paper, by applying the updated technique to the relaxed gradient-based iterative algorithm proposed by Wang et al. (J. Appl. Math. Comput. 67 ,...
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EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs
Iterative stencil computations are widely used in numerical simulations. They present a high degree of parallelism, high locality and...
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Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach
Many systems have been built to employ the delta-based iterative execution model to support iterative algorithms on distributed platforms by...
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Hybrid iterative refined restarted Lanczos bidiagonalization methods
Presented are new hybrid restarted Lanczos bidiagonalization methods for the computation of a few of the extreme singular triplets of very large...
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A family of hybrid iterative approximation methods for fitting blending curves
Data fitting is a fundamental research problem in many scientific fields. The progressive iterative approximation for least-squares fitting is an...
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Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation
Mobile edge computing (MEC) has been widely applied to numerous areas and aspects of human life and modern society. Many such applications can be...
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Privacy-preserving eigenvector computation with applications in spectral clustering
Eigenvectors give many useful information about the data. One of the applications that benefits from eigenvectors is spectral clustering in which the...
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Computation Graph
A computation graph is a basic theoretical tool that underlines modern deep learning libraries. It is also an important component in Owl. This...
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Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
Random walk with restart (RWR) is a widely-used measure of node similarity in graphs, and it has proved useful for ranking, community detection, link...
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An expectile computation cookbook
A substantial body of work in the last 15 years has shown that expectiles constitute an excellent candidate for becoming a standard tool in...
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Acceleration of iterative refinement for singular value decomposition
We propose fast numerical algorithms to improve the accuracy of singular vectors for a real matrix. Recently, Ogita and Aishima proposed an iterative...
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Equivalent convolution strategy for the evolution computation in parametric active contour model
Parametric active contour model is an efficient approach for image segmentation. However, the high cost of evolution computation has restricted their...
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A survey on federated learning: a perspective from multi-party computation
Federated learning is a promising learning paradigm that allows collaborative training of models across multiple data owners without sharing their...
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Constrained least square progressive and iterative approximation (CLSPIA) for B-spline curve and surface fitting
Combining the Lagrange multiplier method, the Uzawa algorithm, and the least square progressive and iterative approximation (LSPIA), we proposed the co...
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Iterative and mixed-spaces image gradient inversion attack in federated learning
As a distributed learning paradigm, federated learning is supposed to protect data privacy without exchanging users’ local data. Even so, the gradient...
