Results 41 to 50 of about 5,093,083 (301)
Robust Similarity-Based Concept Factorization for Data Representation
IEEE Access, 2020 Non-negative matrix factorization (NMF) known as learnt parts-based representation has become a data analysis tool for clustering tasks. It provides an alternative learning paradigm to cope with non-negative data clustering.
Xingyu Shen +4 more
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Mobile distributed processing of physiological data [PDF]
, 2012 Physiological monitoring can be useful in a number of scenarios to evaluate or diagnose the status of individuals or groups, for health or mental reasons.
Lee, K. +5 more
core +1 more source
Efficient MIMO Preprocessor With Sorting-Relaxed QR Decomposition and Modified Greedy LLL Algorithm
IEEE Access, 2020 This paper proposes a high-efficient preprocessing algorithm for 16 × 16 MIMO detections. The proposed algorithm combines a sorting-relaxed QR decomposition (SRQRD) and a modified greedy LLL (MGLLL) algorithm.
Lirui Chen +3 more
doaj +1 more source
Transfer learning for deep neural network-based partial differential equations solving
Advances in Aerodynamics, 2021 Deep neural networks (DNNs) have recently shown great potential in solving partial differential equations (PDEs). The success of neural network-based surrogate models is attributed to their ability to learn a rich set of solution-related features ...
Xinhai Chen +7 more
doaj +1 more source
Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations
IEEE Access, 2020 Multi-block linear constrained separable convex minimizations are ubiquitous and have been drawing increasing attention in recent researches. The alternating direction method of multipliers (ADMM) has been well studied and used in the literature for the ...
Xiaoge Deng, Feng Liu, Feng Huang
doaj +1 more source
Scientific Reports, 2021 Grading individual knee osteoarthritis (OA) features is a fine-grained knee OA severity assessment. Existing methods ignore following problems: (1) more accurately located knee joints benefit subsequent grades prediction; (2) they do not consider knee ...
Kang Wang +4 more
doaj +1 more source
Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint
IEEE Access, 2019 Non-negative matrix factorization (NMF) is a classical data analysis tool for clustering tasks. It usually considers the squared loss to measure the reconstruction error, thus it is sensitive to the presence of outliers. Looking into the literature, most
Xingyu Shen +4 more
doaj +1 more source
Applying Partial Power-Gating to Direction-Sliced Network-on-Chip
Journal of Electrical and Computer Engineering, 2015 Network-on-Chip (NoC) is one of critical communication architectures for future many-core systems. As technology is continually scaling down, on-chip network meets the increasing leakage power crisis. As a leakage power mitigation technique, power-gating
Feng Wang, Xiantuo Tang, Zuocheng Xing
doaj +1 more source
Design Support for Distributed Systems: DSE4DS [PDF]
, 2002 Distributed System design is a highly complicated and non-trivial task. The problem is characterized by the need to design multi-threaded, multi-processor, and multi-media systems.
Derrick, John +3 more
core
Generic Framework for Parallel and Distributed Processing of Video-Data [PDF]
, 2006 This paper presents a software framework providing a platform for parallel and distributed processing of video data on a cluster of SMP computers. Existing video-processing algorithms can be easily integrated into the framework by considering them as ...
With, de, P.H.N. +3 more
core +1 more source