The easiest way to start with tabmat is to use the convenience constructor tabmat.from_pandas. TL;DR: We provide matrix classes for efficiently building statistical algorithms with data that is ...
Transforms quantum states into the Fourier space, making it easier to extract periods and phases hidden in the amplitudes. Purpose: An operation that transforms quantum states while maintaining the ...
Abstract: In this paper, authentication for mobile radio frequency identification (RFID) systems with low-cost tags is investigated. To this end, an adaptive modulus (AM) encryption algorithm is first ...
NonnegMFPy ----- NonnegMFPy is developed and maintained by Guangtun Ben Zhu, It is designed to solve nonnegative matrix factorization (NMF) given a dataset with heteroscedastic uncertainties and ...
Abstract: Sparse matrix is a kind of special matrix which is often studied by computer scientists, and computer scientists mainly study its storage structure and algorithm. In this paper, we conceive ...
Current motor imagery-based brain-computer interface (BCI) systems require a long calibration time at the beginning of each session before they can be used with adequate levels of classification ...
The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an ...
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