近日,电子科技大学信息与通信工程学院刘翼鹏副教授、刘佳妮博士生、龙珍博士生和朱策教授历时两年所著的《Tensor Computation for Data Analysis》由施普林格(Springer)出版集团正式出版。该书讨论了张量计算推广的一系列机器学习方法,详细讲解了张量计算基础,全方面多层次地介绍了张量计算方法在数据分析方面的各种应用,可以...
Tensor Computation for Data Analysis Yipeng Liu, Jiani Liu, Zhen Long & Ce Zhu 3328 Accesses Abstract Sketching is a group of dimensionality reduction approaches which succinctly approximate the original data using random projections or samplings. In contrast to general random subsamplings, the ...
(2022). Robust Principal Tensor Component Analysis. In: Tensor Computation for Data Analysis. Springer, Cham. https://doi.org/10.1007/978-3-030-74386-4_6 Download citation .RIS .ENW .BIB DOIhttps://doi.org/10.1007/978-3-030-74386-4_6 Published03 May 2021 Publisher NameSpringer, Cham ...
T2TModelsdefine the core tensor-to-tensor computation. They apply a default transformation to each input and output so that models may deal with modality-independent tensors (e.g. embeddings at the input; and a linear transform at the output to produce logits for a softmax over classes). Al...
(I admire the elegance of your method of computation; it must be nice to ride through these fields upon the horse of true mathematics while the like of us have to make our way laboriously on foot.) 更重要的是,近现代大多物理规律都是用张量进行表达的,若不懂张量,可能很难懂相对论,很难懂...
Tensor Computation for Data Analysis 2021, Tensor Computation for Data Analysis View all citing articles on Scopus Jiani Liureceived her B.S. degree from University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2016. She is currently pursuing the Ph.D. degree at Un...
theano automatic-differentiation transpiler tensors symbolic-computation optimizing-compiler optimizing-compilers aesara term-rewriting-system Updated Nov 15, 2024 Python Tiramisu-Compiler / tiramisu Star 932 Code Issues Pull requests A polyhedral compiler for expressing fast and portable data parallel ...
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 t ... read full description Purchase book Share this bookBrowse content ...
In practice, neural data often exhibits tensor patterns, while these decoders transform tensorized data into vectorized data for computation. However, the current approach of vectorization in decoding neural signals can lead to the loss of this inherent structural information, potentially compromising its...
Independent Component Analysis Independent component analysis finds latent variables that are statistically independent in observed data. The two related demos illustrate the computation of basic as well as constrained CPD. Read more Independent Vector Analysis ...