Segueix
Eduardo Pavez
Títol
Citada per
Citada per
Any
Graph learning from data under laplacian and structural constraints
HE Egilmez, E Pavez, A Ortega
IEEE Journal of Selected Topics in Signal Processing, 2017
4532017
Generalized Laplacian precision matrix estimation for graph signal processing
E Pavez, A Ortega
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016
1372016
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
892018
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
782018
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
58*2018
Analysis and design of wavelet-packet cepstral coefficients for automatic speech recognition
E Pavez, JF Silva
Speech Communication 54 (6), 814-835, 2012
502012
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
482019
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
462015
Region adaptive graph Fourier transform for 3D point clouds
E Pavez, B Girault, A Ortega, PA Chou
2020 IEEE International Conference on Image Processing (ICIP), 2726-2730, 2020
342020
Dynamic polygon cloud compression
E Pavez, PA Chou
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
332017
Covariance matrix estimation with non uniform and data dependent missing observations
E Pavez, A Ortega
IEEE Transactions on Information Theory 67 (2), 1201-1215, 2020
252020
Two channel filter banks on arbitrary graphs with positive semi definite variation operators
E Pavez, B Girault, A Ortega, PA Chou
IEEE Transactions on Signal Processing 71, 917-932, 2023
132023
Learning separable transforms by inverse covariance estimation
E Pavez, A Ortega, D Mukherjee
International Conference on Image Processing (ICIP) 2017, 2017
132017
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
122016
Multi-resolution intra-predictive coding of 3d point cloud attributes
E Pavez, AL Souto, RL De Queiroz, A Ortega
2021 IEEE International Conference on Image Processing (ICIP), 3393-3397, 2021
112021
On learning laplacians of tree structured graphs
KS Lu, E Pavez, A Ortega
2018 IEEE Data Science Workshop (DSW), 205-209, 2018
102018
Cylindrical coordinates for lidar point cloud compression
SN Sridhara, E Pavez, A Ortega
2021 IEEE International Conference on Image Processing (ICIP), 3083-3087, 2021
92021
GLL: Graph Laplacian learning package, version 1.0
HE Egilmez, E Pavez, A Ortega
Graph_Learning, 2017
92017
Fractional motion estimation for point cloud compression
H Hong, E Pavez, A Ortega, R Watanabe, K Nonaka
2022 Data Compression Conference (DCC), 369-378, 2022
82022
A graph learning algorithm based on Gaussian Markov random fields and minimax concave penalty
T Koyakumaru, M Yukawa, E Pavez, A Ortega
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
82021
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
Articles 1–20