( en | de | ru )

 

Disambiguation of "Saito, Naoki"

Author of the publication

copydeleteadd this publication to your clipboard
Multiresolution representations using the autocorrelation functions of compactly supported wavelets.

, and . IEEE Trans. Signal Process., 41 (12): 3584-3590 (1993)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Naoki Saito

Kaku Saito

Naoki Yoshida

Itohei Saito

Mitsuhiro Saito

 

Other publications of authors with the same name

Multiresolution representations using the autocorrelation functions of compactly supported wavelets., and . IEEE Trans. Signal Process., 41 (12): 3584-3590 (1993)Image approximation and modeling via least statistically dependent bases.. Pattern Recognit., 34 (9): 1765-1784 (2001)Disturbance observer-based predictive functional control using zero phase error tracking controller., , , , and . WCICSS, page 19-20. IEEE, (2015)Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models., , , and . LifeTech, page 231-232. IEEE, (2019)Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results., , , and . ICMR, page 493-496. ACM, (2018)Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network., , , , and . GCCE, page 243-244. IEEE, (2023)On local orthonormal bases for classification and regression., and . ICASSP, page 1529-1532. IEEE Computer Society, (1995)Development of a four-axis flexible force sensor using conductive material., , and . ROBIO, page 1984-1989. IEEE, (2011)Hidden Markov model for automatic transcription of MIDI signals., , , , , and . IEEE Workshop on Multimedia Signal Processing, page 428-431. IEEE, (2002)Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model., , , and . IEEE Access, (2019)