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 Pur
- october 21, 2021 imprint: academic press editor: yipeng liu language: english paperback isbn: 9780128244470 9 7 8 - 0 - 1 2 - 8 2 4 4 4 7 - 0 ebook isbn: 9780323859653 9 7 8 - 0 - 3 2 3 - 8 5 9 6 5 - 3 tensors for data processing: theory, methods and applications ...
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 and engineering applications, with an emphasis on techniques for data processing. This...
这本Tensors for Data Processing 讲述了张量的理论。关于张量,因为存储空间巨大,我稍微改进了一下相关理论,在国际学术会议 IEEE ICISCAE 2021 发表了一篇题为 MatMat: Matrix Factorization by Matrix Fittin…
Tensors: An abstraction for general data processing Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi VLDB 2021|December 2020 Publication Deep Learning (DL) has created a growing demand for simpler ways to develop complex models and effic...
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data. javascript data-science tensorflow table pandas stream-processing data-analytics data-analysis data-manipulation tensors dataframe stream-dat...
However, after setting data[0]=0, we can see some of our tensors have changes. The first two o1 and o2 still have the original value of 1 for index 0, while the second two o3 and o4 have the new value of 0 for index 0. ...
For example: 3 * 3 = 9 1 * 9 = 9 This makes it so that there are enough positions inside the tensor data structure to contain all of the original data elements after the reshaping. Reshaping changes the shape but not the underlying data elements. ...
In some cases, you may need to perform data processing on multiple tensors. By concatenating the tensors along a specific dimension, you can easily perform this data processing in a more streamlined manner. For example, if you wanted to average the elements of a and b, you could do so ...
Only AutoTen is able to successfully estimate the rank for the enron dataset, but FRAPPE is also very close. Unfortunately, we are limited in the amount of data we can use for this evaluation because there are very few real-world tensors with known ranks. While it is difficult to draw ...