( en | de | ru )

 

Disambiguation of "Kurita, Takio"

Author of the publication

copydeleteadd this publication to your clipboard
A Topographic Kernel-based Regression Method.

, , and . JCIS, page 521-524. JCIS / Association for Intelligent Machinery, Inc., (2002)

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.

No persons found for author name Kurita, Takio
add a person with the name Kurita, Takio
 

Other publications of authors with the same name

Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations., and . IEICE Trans. Inf. Syst., 93-D (10): 2870-2874 (2010)Adaptive algorithm selection method (AASM) for dynamic software tuning., , , and . COMPSAC, page 248-256. IEEE, (1993)Sparse Logistic Discriminant Analysis., , and . SMC, page 3003-3008. IEEE, (2013)Convolutional Neural Network with Discriminant Criterion for Input of Each Neuron in Output Layer., and . ICONIP (1), volume 11301 of Lecture Notes in Computer Science, page 332-339. Springer, (2018)A Topographic Kernel-based Regression Method., , and . JCIS, page 521-524. JCIS / Association for Intelligent Machinery, Inc., (2002)Robust De-noising by Kernel PCA., and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 739-744. Springer, (2002)Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model., and . S+SSPR, volume 8621 of Lecture Notes in Computer Science, page 133-142. Springer, (2014)Deep Packet Flow: Action Recognition via Multiresolution Deep Wavelet Packet of Local Dense Optical Flows., and . J. Signal Process. Syst., 91 (6): 609-625 (2019)Adaptive background estimation based on robust statistics., , , , and . Syst. Comput. Jpn., 38 (7): 98-108 (2007)Navigation of mobile robot using location map of place cells and reinforcement learning., , and . Syst. Comput. Jpn., 38 (7): 65-75 (2007)