Eduardo Pavez
TitoloCitata daAnno
Graph learning from data under laplacian and structural constraints
HE Egilmez, E Pavez, A Ortega
IEEE Journal of Selected Topics in Signal Processing, 2017
112*2017
Generalized Laplacian precision matrix estimation for graph signal processing
E Pavez, A Ortega
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016
652016
Analysis and design of wavelet-packet cepstral coefficients for automatic speech recognition
E Pavez, JF Silva
Speech Communication 54 (6), 814-835, 2012
432012
GTT: Graph Template Transforms with Applications to Image Coding
E Pavez, HE Egilmez, Y Wang, A Ortega
Picture Coding Symposium (PCS), 2015, 199-203, 2015
252015
Dynamic polygon cloud compression
E Pavez, PA Chou
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
172017
Learning graphs with monotone topology properties and multiple connected components
E Pavez, HE Egilmez, A Ortega
IEEE Transactions on Signal Processing 66 (9), 2399-2413, 2018
152018
Graph learning from filtered signals: Graph system and diffusion kernel identification
HE Egilmez, E Pavez, A Ortega
IEEE Transactions on Signal and Information Processing over Networks 5 (2 …, 2018
122018
Dynamic polygon clouds: representation and compression for VR/AR
E Pavez, PA Chou, RL De Queiroz, A Ortega
APSIPA Transactions on Signal and Information Processing 7, 2018
11*2018
Graph learning with Laplacian constraints: Modeling attractive Gaussian Markov random fields
HE Egilmez, E Pavez, A Ortega
2016 50th Asilomar Conference on Signals, Systems and Computers, 1470-1474, 2016
62016
Compressibility of infinite sequences and its interplay with compressed sensing recovery
JF Silva, E Pavez
Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012
42012
Learning separable transforms by inverse covariance estimation
E Pavez, A Ortega, D Mukherjee
International Conference on Image Processing (ICIP) 2017, 2017
32017
Markov Chain Sparsification with Independent Sets for Approximate Value Iteration
E Pavez, N Michelusi, A Anis, U Mitra, A Ortega
32015
Covariance matrix estimation with non uniform and data dependent missing observations
E Pavez, A Ortega
arXiv preprint arXiv:1910.00667, 2019
22019
Active covariance estimation by random sub-sampling of variables
E Pavez, A Ortega
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
12018
System and method for inter-frame predictive compression for point clouds
D Tian, E Pavez, R Cohen, A Vetro
US Patent 10,499,054, 2019
2019
On learning laplacians of tree structured graphs
KS Lu, E Pavez, A Ortega
2018 IEEE Data Science Workshop (DSW), 205-209, 2018
2018
Learning graphs with monotone topology properties
E Pavez, HE Egilmez, A Ortega
GlobalSIP, 2017
2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–17