Author:Rama Murthy GarimellaPublications |
---|
EasyChair Preprint 14997 | EasyChair Preprint 12579 | EasyChair Preprint 13550 | EasyChair Preprint 12579 | EasyChair Preprint 12450 | EasyChair Preprint 11692 | EasyChair Preprint 11692 | EasyChair Preprint 11692 | EasyChair Preprint 11550 | EasyChair Preprint 11381 | EasyChair Preprint 10708 | EasyChair Preprint 798 | EasyChair Preprint 798 | EasyChair Preprint 10708 | EasyChair Preprint 798 | EasyChair Preprint 10708 | EasyChair Preprint 798 | EasyChair Preprint 798 | EasyChair Preprint 4990 | EasyChair Preprint 7383 | EasyChair Preprint 821 | EasyChair Preprint 6678 | EasyChair Preprint 4990 | EasyChair Preprint 4887 | EasyChair Preprint 1473 | EasyChair Preprint 490 | EasyChair Preprint 2094 | EasyChair Preprint 798 | EasyChair Preprint 2094 | EasyChair Preprint 2528 | EasyChair Preprint 798 | EasyChair Preprint 2448 | EasyChair Preprint 1913 | EasyChair Preprint 798 | EasyChair Preprint 2281 | EasyChair Preprint 2281 | EasyChair Preprint 2267 | EasyChair Preprint 2094 | EasyChair Preprint 798 | EasyChair Preprint 1913 | EasyChair Preprint 821 | EasyChair Preprint 821 | EasyChair Preprint 821 | EasyChair Preprint 1473 | EasyChair Preprint 1416 | EasyChair Preprint 821 | EasyChair Preprint 821 | EasyChair Preprint 821 | EasyChair Preprint 1110 | EasyChair Preprint 1002 | EasyChair Preprint 821 | EasyChair Preprint 866 | EasyChair Preprint 821 | EasyChair Preprint 798 | EasyChair Preprint 490 | EasyChair Preprint 490 | EasyChair Preprint 608 | EasyChair Preprint 490 | EasyChair Preprint 490 |
Keyphrasesalgebraic geometry, approximation, architectures, Artificial Neural Networks2, Associative memories, associative memory, Auto-encoder, Auto-encoders, BIBO stability, binary classifiers, Cascade Architecture, Cayley-Hamilton theorem, Classification2, Cognitive Radio2, Companion matrix, Condensed Photons, convergence theorem, convolution, Convolutional Neural Networks, Correlation filters, Deep Neural Networks, delay optimization, Diophantine equation, distributed computation, Divide and Conquer, Downlink, dynamic synapse, efficient algorithms, eigenvalues6, Eigenvector, Eigenvectors3, Einstein Equation, emotion, Entropic Polynomials, epsilon perturbation, equilibrium distribution, Even Dimension, G/M/1 Type Markov Chains, Genus Theorem, Gibbs entropy2, Hadamard matrix, Hamiltonian cycle, Hamiltonian path, Higher Powers of Matrix, Highly Composite Numbers, Hopfield network, Hopfield neural network3, incremental learning, information theory, input-output representation, integer matrices, integral equations, isomorphic graphs, Laplacian matrix, linear filter, Local minima Problem, Localization Theorem, Lower Bound on Complexity, Markov chains, Matrix Polynomial Equation, Matrix Quadratic Equations, Microwaves, Multi Layer Perceptron, Orthogonality, performance evaluation, Permutation Matrices, Physics-informed neural networks, Planck's law, polar coordinates, Poles, polynomial-time algorithm, PP Class, prime numbers, probabilistic algorithm, Quadratic Filters, quadratic form2, quadratic forms, Quark Strings, queueing theory, Rate matrix, recursive computation, Relative Stability, rotation invariance, Rouche's Theorem, Sensing Bands, sensing time, Shannon entropy2, Spatial Modulation, spectral efficiency, spectral representation, spectrum sensing, spherical coordinates, Spherical Seperability, spread spectrum, stable states3, state space representation, statistical measures, Synaptic weights, synthesis, threshold decomposition, transfer function, Transient distribution, Tsallis entropy2, unique factorization, Unit Symmetric Hypercube, variance, Vertex degree distribution, Weak Superposition, wireless networks, Wireless Sensor Network. |
|