Low-rankness and sparsity are often used to guide the compression of convolutional neural networks (CNNs) separately.Since they capture global and local structure of a matrix respectively, we combine these two complementary properties together to pursue better here network compression performance.Most existing low-rank or sparse compression methods
In the nervous system, the specific identity of a neuron is established and maintained by terminal read more selector transcription factors that directly activate large batteries of terminal differentiation genes and positively regulate their own expression via feedback loops.However, how this is achieved in a reliable manner despite noise in gene
Low-frequency infrasound signals are distinguished by minimal energy attenuation and robust penetration capabilities, endowing them with notable advantages for non-contact monitoring of rock fracture.In order to investigate the relationship between infrasonic signal characteristics and loading rate during rock instability failure, uniaxial compress