Author:Rama Murthy Garimella

Publications
Spherical Seperability: Associative Memories Rama Murthy Garimella and Jagannadha Swamy Tata EasyChair Preprint no. 4990
Bang Bang Spectrum Sensing Rama Murthy Garimella and Jagannadha Swamy Tata EasyChair Preprint no. 4887
Approximations to Entropy Functions: Entropic Polynomials Rama Murthy Garimella and Ravi Kishore EasyChair Preprint no. 1473
Efficient Algorithms for Computation of Equilibrium/Transient Probability Distribution of Finite Markov Chains: Potential Lower Bound on Computational Complexity Rama Murthy Garimella EasyChair Preprint no. 490
Matrix Quadratic Equations: Algebraic Geometry Rama Murthy Garimella, Alexander Rumyantsev and B K Krishna Kumar EasyChair Preprint no. 2094
Efficient Algorithm for Graph Isomorphism Problem Rama Murthy Garimella EasyChair Preprint no. 798
Incremental Learning: Deep Neural Networks Rama Murthy Garimella, Jyothi Prasanna G C, Vidya Sree Vankam, Maha Lakshmi Bairaju and Manasa Jagannadan EasyChair Preprint no. 2528
1-D/2-D/3-D Hopfield Associative Memories Rama Murthy Garimella, Jyothi Prasanna Gc, Vidya Sree Vankam, Maha Lakshmi Bairaju and Manasa Jagannadhan EasyChair Preprint no. 2448
Synthesis/Programming of Hopfield Associative Memory Rama Murthy Garimella, Krishna Vamshi Reddy Lankala, Devaki Nimmagadda and Sree Divya Bondalapati EasyChair Preprint no. 1913
On Hadamard Matrices Rama Murthy Garimella EasyChair Preprint no. 2281
Novel Innovative Approaches to Spatial Modulation Rama Murthy Garimella EasyChair Preprint no. 2267
Variance Laplacian: Quadratic Forms in Statistics Rama Murthy Garimella EasyChair Preprint no. 821
Probabilistic Algorithm for Finding a Hamiltonian Path/ Cycle in a Graph Rama Murthy Garimella, Vihan Shah and Dhruv Srivastava EasyChair Preprint no. 1416
Novel Deep Learning Architectures: Classification Accuracy Improvement Rama Murthy Garimella and Inthiyaz Basha Kattubadi EasyChair Preprint no. 1110
Test for Uniform Bounded Input, Bounded Output Stability Rama Murthy Garimella and Mahipal Jetta EasyChair Preprint no. 1002
Gibbs-Shannon Entropy and Related Measures: Tsallis Entropy Rama Murthy Garimella EasyChair Preprint no. 866
G/M/1-type Markov Chain Model of Spread Spectrum ( CDMA ) Cognitive Radio Wireless Networks Rama Murthy Garimella and Alexander Rumyantsev EasyChair Preprint no. 608

Keyphrases

algebraic geometry, approximation, architectures, Artificial Neural Networks, Associative memories, associative memory, Auto-encoder, Auto-encoders, BIBO stability, Classification, Cognitive Radio², convolution, Convolutional Neural Networks, Deep Neural Networks, Diophantine equation, Downlink, efficient algorithms, eigenvalues⁴, Eigenvector, Eigenvectors³, emotion, Entropic Polynomials, equilibrium distribution, Even Dimension, G/M/1 Type Markov Chains, Gibbs entropy², Hadamard matrix, Hamiltonian cycle, Hamiltonian path, Hopfield network, Hopfield neural network², incremental learning, information theory, input-output representation, isomorphic graphs, Laplacian matrix, Lower Bound on Complexity, Markov chains, Matrix Quadratic Equations, Orthogonality, performance evaluation, Permutation Matrices, polar coordinates, Poles, PP Class, probabilistic algorithm, quadratic form, queueing theory, Relative Stability, Sensing Bands, sensing time, Shannon entropy², Spatial Modulation, spectral efficiency, spectral representation, spectrum sensing, spherical coordinates, Spherical Seperability, spread spectrum, stable states², state space representation, statistical measures, Synaptic weights, synthesis, transfer function, Transient distribution, Tsallis entropy², Unit Symmetric Hypercube, variance, Vertex degree distribution, wireless networks.