Publications
International Conferences:
2014
Nguyen, Son, Kanishka Tyagi, Parastoo Kheirkhah, and Michael Manry. "Partially affine invariant back propagation." In Neural Networks (IJCNN), 2016 International Joint Conference on, pp. 811-818. IEEE, 2016.
Hao, Yilong, Kanishka Tyagi, Rohit Rawat, and Michael Manry. "Second order design of multiclass kernel machines." In Neural Networks (IJCNN), 2016 International Joint Conference on, pp. 3233-3240. IEEE, 2016.
Auddy, Soumitro Swapan, Kanishka Tyagi, Son Nguyen, and Michael Manry. "Discriminant vector tranformations in neural network classifiers." In Neural Networks (IJCNN), 2016 International Joint Conference on, pp. 1780-1786. IEEE, 2016.
2015
蔡珣, and 陈智. "二阶 Newton 法训练径向基函数神经网络的算法研究." 计算机研究与发展 52.7 (2015): 1477-1486.
(second order Newton method of radial basis function neural network research training algorithm, Journal of Computer Research and Development, vol 52, number 7, 1477--1486)
2014
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network, X.Cai, K.Tyagi, M.Manry, In IJCNN, Beijing, P.R.China, 2014. .
Optimal Conjugate Gradient algorithm for generalization of Linear Discriminant Analysis based on L1 norm, K.Tyagi, N.Kwak, M.T.Manry, in ICPRAM, Loire Valley, France, 2014
2013
Neural Decision Directed Segmentation of Silicon Defects, A. Godbole, K. Tyagi and M.T. Manry, In IJCNN, Dallas, TX, USA, 2013.
2011
Fuzzy C-means clustering based construction and training for second order RBF network, K. Tyagi, X. Cai, M.T. Manry In IEEE FUZZ, Taipei, Taiwan , 2011. (Outstanding Student Paper Travel Grant)
Training multilayer perceptron by using optimal input normalization, X. Cai, K. Tyagi, M.T. Manry, In IEEE FUZZ, Taipei, Taiwan , 2011.
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation, X. Cai, K. Tyagi, M.T. Manry, In IJCNN, San Jose, California, USA, 2011.
2010
An FFT and correlation based approach for Engine condition monitoring, S. K. Yadav, K. Tyagi, B.Shah, P. K. Kalra, IJcICT-2010, IIMT Bhubaneswar, India.
2008
A novel complex valued neuron model for landslide assessment, K.Tyagi, V.Jindal, V.Kumar In Proceedings of the Tenth International Symposium on Landslides and Engineered Slopes, X'ian, P.R.China , 2008.
2007
A Novel Complex-Valued Counterpropagation Network, K.Tyagi, D. Mishra, P. Kalra, In IEEE Computational Intelligence and Data Mining, Hawaii, USA, 2007 [bibtex] [code] (Outstanding Student Paper Travel Grant)
A Novel Complex Neural Approach for Real Time Flood Forecasting, K.Tyagi, R.Jain, H.J.S.Prasad, International Conference on Water and Flood Management, March 12-14, 2007, Dhaka, Bangladesh.
International Journals:
2011
Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach, S.K. Yadav, K. Tyagi, B. Shah, P. Kalra, In IEEE Transactions on Instrumentation and Measurement , 2011.
Master's thesis:
K.Tyagi, Second Order Training Algorithms For Radial Basis Function Neural Networks, Department of Electrical Engineering, The University of Texas at Arlington- [pdf] [talk]
Technical Reports:
K.Tyagi, Applications of Deep Learning Network on Audio and Music Problems, IEEE Computational Intelligence Society Walter Karplus Summer Research Grant 2013 [pdf]