Kanishka Tyagi
Kanishka Tyagi
Autonomous Driving Machine Learning Scientist, Aptiv Corp
Verified email at mavs.uta.edu - Homepage
Title
Cited by
Cited by
Year
Audio signature-based condition monitoring of internal combustion engine using FFT and correlation approach
SK Yadav, K Tyagi, B Shah, PK Kalra
IEEE Transactions on instrumentation and measurement 60 (4), 1217-1226, 2010
362010
Second Order Training Algorithms For Radial Basis Function Neural Networks
K Tyagi
Department of Electrical Engineering, The University of Texas at Arlington, 2012
92012
Fuzzy C-means clustering based construction and training for second order RBF network
K Tyagi, X Cai, MT Manry
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 248-255, 2011
92011
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation
X Cai, K Tyagi, MT Manry
The 2011 International Joint Conference on Neural Networks, 3120-3126, 2011
62011
Multi-step Training of a Generalized Linear Classifier
K Tyagi, M Manry
Neural Processing Letters 50 (2), 1341-1360, 2019
42019
Partially affine invariant back propagation
S Nguyen, K Tyagi, P Kheirkhah, M Manry
2016 International Joint Conference on Neural Networks (IJCNN), 811-818, 2016
42016
Training multilayer perceptron by using optimal input normalization
X Cai, K Tyagi, MT Manry
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2771-2778, 2011
42011
Second Order Training and Sizing for the Multilayer Perceptron
K Tyagi, S Nguyen, R Rawat, M Manry
Neural Processing Letters, 1-29, 2019
32019
Discriminant vector tranformations in neural network classifiers
SS Auddy, K Tyagi, S Nguyen, M Manry
2016 International Joint Conference on Neural Networks (IJCNN), 1780-1786, 2016
32016
A novel complex-valued counterpropagation network
PK Kalra, D Mishra, K Tyagi
2007 IEEE Symposium on Computational Intelligence and Data Mining, 81-87, 2007
32007
Structural adaptation for sparsely connected MLP using Newton's method
P Kheirkhah, K Tyagi, S Nguyen, MT Manry
2017 International Joint Conference on Neural Networks (IJCNN), 4467-4473, 2017
22017
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network
X Cai, K Tyagi, MT Manry, Z Chen
2014 International Joint Conference on Neural Networks (IJCNN), 1093-1099, 2014
22014
Material sorting using a vision system
N Kumar, MG Garcia, K Tyagi
US Patent 10,710,119, 2020
12020
Second order design of multiclass kernel machines
Y Hao, K Tyagi, R Rawat, M Manry
2016 International Joint Conference on Neural Networks (IJCNN), 3233-3240, 2016
12016
Second Order Newton’s Method for Training Radial Basis Function Neural Networks
X Cai, Z Chen, T Kanishka, K Yu, Z Li, B Zhu
Journal of Computer Research and Development 52 (7), 1477, 2015
12015
Multistage Newton’s Approach for Training Radial Basis Function Neural Networks
K Tyagi, C Rane, B Irie, M Manry
SN Computer Science 2 (5), 1-22, 2021
2021
Automated multistep classifier sizing and training for deep learner
K Tyagi
The University of Texas at Arlington, 2018
2018
Material sorting using a vision system
N Kumar, MG Garcia Jr., K Tyagi
US Patent US20180243800A1, 2018
2018
二阶Newton法训练径向基函数神经网络的算法研究
ZB Cai Xun, Chen Zhi, Kanishka Tyagi, Li Ziqiang
Journal of Computer Research and Development 52 (Issue (7)), 1477-1486, 2015
2015
An Efficient Conjugate Gradient based Multiple Optimal Learning Factors Algorithm of Multilayer Perceptron Neural Network
MM Xun Cai, Kanishka Tyagi
International Joint Conference on Neural Networks, 2014
2014
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