Suchergebnisse - Tensor algebra-Data processing

Tensors for Data Processing: Theory, Methods, and Applications von Liu, Yipeng

“… Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing …”
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Random noise attenuation via the randomized canonical polyadic decomposition von Gao, Wenlei, Sacchi, Mauricio D.

“… ABSTRACT Tensor algebra provides a robust framework for multi‐dimensional seismic data processing. A low …”
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Michelson Interferometric Methods for Full Optical Complex Convolution von Kang, Haoyan, Wang, Hao, Ye, Jiachi, Hu, Zibo, George, Jonathan K., Sorger, Volker J., Solyanik-Gorgone, Maria, Movahhed Nouri, Behrouz

“… Optical real-time data processing is advancing fields like tensor algebra acceleration, cryptography, and digital holography …”
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Hyper Spectral Image compression using Higher Order Orthogonal Iteration Tucker decomposition von Sucharitha, B., Anitha Sheela, K.

“… Tensors are multi-dimensional Structures. Tensors have a wide range of applications in numerical linear algebra, chemometrics, data mining, signal processing, statics, data mining, and machine learning …”
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cuTensor-Tubal: Efficient Primitives for Tubal-Rank Tensor Learning Operations on GPUs von Zhang, Tao, Liu, Xiao-Yang, Wang, Xiaodong, Walid, Anwar

“… Therefore, designing high-performance primitives on parallel architectures such as GPUs is critical for the efficiency of ever growing data processing demands …”
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ABC-DIMM: Alleviating the Bottleneck of Communication in DIMM-based Near-Memory Processing with Inter-DIMM Broadcast von Sun, Weiyi, Li, Zhaoshi, Yin, Shouyi, Wei, Shaojun, Liu, Leibo

“… Near-Memory Processing (NMP) systems that integrate accelerators within DIMM (Dual-Inline Memory Module …”
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A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression von Stott, Alexander E., Scalzo Dees, Bruno, Kisil, Ilia, Mandic, Danilo P.

“… •The algorithms are implemented for a real-world image classification application. Quaternion and tensor-based signal processing benefits from exploiting higher dimensional …”
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Theories, algorithms and applications in tensor learning von Deng, Xiaowu, Shi, Yuanquan, Yao, Dunhong

“… The theory of tensor algebra provides a powerful mathematical tool and an extensible framework for learning algorithms for processing data with high-dimensional heterogeneity and complex dependence …”
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t-HGSP: Hypergraph Signal Processing Using t-Product Tensor Decompositions von Pena-Pena, Karelia, Lau, Daniel L., Arce, Gonzalo R.

“… In this paper, we provide a new hypergraph signal processing framework (t-HGSP) based on a novel tensor-tensor product algebra that has emerged as a powerful tool for preserving the intrinsic …”
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New robust algorithms for sparse non-negative three-way tensor decompositions von Viet-Dung Nguyen, Abed-Meraim, Karim, Nguyen Linh-Trung

“… Tensor decomposition is an important tool for many applications in diverse disciplines such as signal processing, chemo-metrics, numerical linear algebra and data mining …”
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A Unified Advanced Framework for Sparse Data Modeling in Quantum-Enhanced Artificial Intelligence von Pasupuleti, Murali Krishna

“… This study proposes a unified advanced framework that integrates tensor algebra, number theory, topology, and analytic geometry to address the limitations of traditional machine learning models …”
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A Study of Multivariate Behavior and Anomaly Patterns : Tensor Decomposition for Multiway Big Data von Ajayan, Alina Rakhi

“… CPS architectures demand newer Big Data processing approaches. Typical applications span from the Internet-of-Things, across the World Wide Web to Smart Cities and Intelligent machines …”
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Robust Tensor Tracking with Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence Analysis von Thanh, Le Trung, Abed-Meraim, Karim, Trung, Nguyen Linh, Hafiane, Adel

“… Canonical Polyadic (CP) decomposition is a powerful multilinear algebra tool for analyzing multiway (a.k.a. tensor …”
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Adaptive Flattening for Multidimensional Image Restoration von Letexier, D., Bourennane, S.

“… Whereas most previous works treating color or hyper- spectral image restoration use hybrid filters or data splitting, some new approaches consider multidimensional or tensor signal processing techniques …”
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Learning from High-Order Data: Hypergraphs and Smart Codes von Pena, Karelia Pena

“… Currently, there is an increasing need to develop tools that allow the processing and exploitation of the massive amount of data available in many fields, such as computer vision, biology, social …”
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Riemannian Optimization on Tensor Products of Grassmann Manifolds: Applications to Generalized Rayleigh-Quotients von Curtef, O., Dirr, G., Helmke, U.

“… })$ enabling a unified approach to well-known optimization tasks from different areas of numerical linear algebra, such as best low-rank approximations of tensors (data compression …”
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Michelson Interferometric Optical Complex Convolution for Optical Encryption von Kang, Haoyan

“… Optical real-time dynamic data processing finds a wide range of applications, notably in tensor algebra acceleration, often a bottleneck in machine learning, cryptography, digital holography …”
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A Novel Digital-Analog Integrated Communication System Based on the PARATUCK-2 Model von Li, Chunmei, Dou, Zheng, Si, Guangzhen, Wang, Meiyu

“… With the increasing of data processing in the communication field, many researchers have applied tensors into the designing of communication systems …”
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Tensor Decompositions in Wireless Communications and MIMO Radar von Chen, Hongyang, Ahmad, Fauzia, Vorobyov, Sergiy, Porikli, Fatih

“… Harnessing the power of multilinear algebra through tensor analysis in wireless signal processing, channel modeling, and parametric channel estimation provides greater flexibility in the choice …”
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Gradient-based approaches to learn tensor products von Rupp, Markus, Schwarz, Stefan

“… Tensor algebra has become of high interest recently due to its application in the field of so-called Big Data …”
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