Robert M. Gray

ORCID

Publication Activity (10 Years)

Years Active: 1970-2023
Publications (10 Years): 3

Top Venues

CoRR

DCC

IEEE Signal Process. Mag.

Publications

Gordon H. Y. Li, Christian R. Leefmans, James Williams, Robert M. Gray, Midya Parto, Alireza Marandi
Deep Learning with Photonic Neural Cellular Automata. CoRR (2023)
Gordon H. Y. Li, Ryoto Sekine, Rajveer Nehra, Robert M. Gray, Luís Ledezma, Qiushi Guo, Alireza Marandi
All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning. CoRR (2022)
Robert M. Gray
In Memory of A.H. "Steen" Gray Jr. [Reflections]. IEEE Signal Process. Mag. 37 (2) (2020)
Robert M. Gray
A Partial Hstry of Losy Compression. DCC (2015)
Mark Z. Mao, Robert M. Gray, Tamás Linder
Rate-Constrained Simulation and Source Coding i.i.d. Sources. IEEE Trans. Inf. Theory 57 (7) (2011)
Mark Z. Mao, Robert M. Gray, Tamás Linder
On Asymptotically Optimal Stationary Source Codes for IID Sources. DCC (2011)
Robert M. Gray
A History of Realtime Digital Speech on Packet Networks: Part II of Linear Predictive Coding and the Internet Protocol. Found. Trends Signal Process. 3 (4) (2010)
Mark Z. Mao, Robert M. Gray, Tamás Linder
Rate-Constrained Simulation and Source Coding IID Sources CoRR (2010)
Mark Z. Mao, Robert M. Gray
Stationary and Trellis Encoding for IID Sources and Simulation. DCC (2010)
Robert M. Gray, Tamás Linder
Bits in Asymptotically Optimal Lossy Source Codes Are Asymptotically Bernoulli. DCC (2009)
Kyungsuk Pyun, Johan Lim, Robert M. Gray
A Robust Hidden Markov Gauss Mixture Vector Quantizer for a Noisy Source. IEEE Trans. Image Process. 18 (7) (2009)
Robert M. Gray
A Survey of Linear Predictive Coding: Part I of Linear Predictive Coding and the Internet Protocol. Found. Trends Signal Process. 3 (3) (2009)
Kyungsuk Pyun, Johan Lim, Robert M. Gray
A covariance adjustment method in compressed domain for noisy image segmentation. ICIP (2008)
Robert M. Gray, Takeshi Hashimoto
A Note on Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes. IEEE Trans. Inf. Theory 54 (3) (2008)
Robert M. Gray, Takeshi Hashimoto
Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes. DCC (2008)
James Ze Wang, Donald Geman, Jiebo Luo, Robert M. Gray
Real-World Image Annotation and Retrieval: An Introduction to the Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 30 (11) (2008)
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray
Cost-sensitive multi-class classification from probability estimates. ICML (2008)
Sangoh Jeong, Chee Sun Won, Robert M. Gray
An adaptive color image retrieval framework using Gauss mixtures. ICIP (2008)
Robert M. Gray, Tamás Linder, John T. Gill III
Lagrangian Vector Quantization With Combined Entropy and Codebook Size Constraints. IEEE Trans. Inf. Theory 54 (5) (2008)
Kyungsuk Pyun, Johan Lim, Chee Sun Won, Robert M. Gray
Image Segmentation Using Hidden Markov Gauss Mixture Models. IEEE Trans. Image Process. 16 (7) (2007)
Robert M. Gray, Takeshi Hashimoto
A note on rate-distortion functions for nonstationary Gaussian autoregressive processes CoRR (2007)
Thomas André, Marc Antonini, Michel Barlaud, Robert M. Gray
Entropy-Based Distortion Measure and Bit Allocation for Wavelet Image Compression. IEEE Trans. Image Process. 16 (12) (2007)
Sangho Yoon, Robert M. Gray
Clustering and Finding the Number of Clusters by Unsupervised Learning of Mixture Models using Vector Quantization. ICASSP (3) (2007)
Chih-Chien Chao, Robert M. Gray
Image Compression with a Vector Speck Algorithm. ICASSP (2) (2006)
Sangho Yoon, Robert M. Gray
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection. ICME (2006)
Kivanc M. Ozonat, Robert M. Gray
Gauss Mixture Model-Based Classification For Sensor Networks. DCC (2006)
Robert M. Gray
Quantization in Task-Driven Sensing and Distributed Processing. ICASSP (5) (2006)
Thomas André, Marc Antonini, Michel Barlaud, Robert M. Gray
Entropy-Based Distortion Measure for Image Coding. ICIP (2006)
Robert M. Gray, John T. Gill III
Quantization with Joint Entropy/Memory Constraints. DCC (2006)
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy. IEEE Trans. Pattern Anal. Mach. Intell. 28 (5) (2006)
Kivanc M. Ozonat, Robert M. Gray
Vector Quantization for Classification in a Simple Network. DCC (2005)
Anuradha K. Aiyer, Kyungsuk Pyun, Ying-zong Huang, Deirdre B. O'Brien, Robert M. Gray
Lloyd clustering of Gauss mixture models for image compression and classification. Signal Process. Image Commun. 20 (5) (2005)
Alessandro Magnani, Arpita Ghosh, Robert M. Gray
Optimal One-Bit Quantization. DCC (2005)
Shahriyar Matloub, Deirdre B. O'Brien, Robert M. Gray
Optimal Quantizer Performance and the Wasserstein Distortion. DCC (2005)
Kivanc M. Ozonat, Robert M. Gray
Vector quantization for image classification with side information for the additive Gaussian noise channels. ICIP (3) (2005)
Deirdre B. O'Brien, Robert M. Gray
Gaussian mixture model classifiers for small objects in images. ICIP (2) (2005)
Sangoh Jeong, Robert M. Gray
A comparison of EM and GMVQ in estimating Gauss mixtures: application to probabilistic image retrieval. ICASSP (5) (2005)
Sangho Yoon, Robert M. Gray
Feature selection based on maximizing separability in Gauss mixture model and its application to image classification. ICIP (2) (2005)
Kivanc M. Ozonat, Robert M. Gray
Gauss mixture image classification for the linear image transforms. ICASSP (5) (2005)
Robert M. Gray
A Lagrangian formulation of fixed-rate quantization. DCC (2005)
Robert M. Gray
Toeplitz and Circulant Matrices: A Review. Found. Trends Commun. Inf. Theory 2 (3) (2005)
Sangoh Jeong, Robert M. Gray
Minimum Distortion Color Image Retrieval Based on Lloyd-Clustered Gauss Mixtures. DCC (2005)
Sangoh Jeong, Chee Sun Won, Robert M. Gray
Image retrieval using color histograms generated by Gauss mixture vector quantization. Comput. Vis. Image Underst. 94 (1-3) (2004)
Ken K. Lin, Robert M. Gray
Wavelet video coding with dependent optimization. IEEE Trans. Circuits Syst. Video Technol. 14 (4) (2004)
Kivanc M. Ozonat, Robert M. Gray
Image Classification Using Adaptive-Boosting and Tree-Structured Discriminant Vector Quantization. Data Compression Conference (2004)
Ying-zong Huang, Deirdre B. O'Brien, Robert M. Gray
Classification of Features and Images using Gauss Mixtures with VQ Clustering. Data Compression Conference (2004)
Kivanc M. Ozonat, Robert M. Gray
Fast Gauss mixture image classification based on the central limit theorem. MMSP (2004)
Robert M. Gray, Tamás Linder
Results and Conjectures on High Rate Quantization. Data Compression Conference (2004)
Robert M. Gray, Tamás Linder
Mismatch in high-rate entropy-constrained vector quantization. IEEE Trans. Inf. Theory 49 (5) (2003)
Xin Tong, Robert M. Gray
Interactive rendering from compressed light fields. IEEE Trans. Circuits Syst. Video Technol. 13 (11) (2003)
Sangoh Jeong, Chee Sun Won, Robert M. Gray
Histogram-based image retrieval using Gauss mixture vector quantization. ICME (2003)
Sangho Yoon, Chee Sun Won, Kyungsuk Pyun, Robert M. Gray
Image Classification using GMM with Context Information and with a Solution of Singular Covariance Problem. DCC (2003)
Sangoh Jeong, Chee Sun Won, Robert M. Gray
Histogram-based image retrieval using Gauss mixture vector quantization. ICASSP (3) (2003)
Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray, Jon Kristian Hagene
Analysis and classification of internal pipeline images. ICIP (3) (2003)
Robert M. Gray, Tamás Linder
High Rate Mismatch in Entropy Constrained Quantization. DCC (2003)
Christine Pépin, Philippe Raffy, Robert M. Gray
Robust stack-run coding for low bit-rate image transmission over noisy channels. IEEE Signal Process. Lett. 9 (7) (2002)
Robert M. Gray, Tamás Linder, Jia Li
A Lagrangian formulation of Zador's entropy-constrained quantization theorem. IEEE Trans. Inf. Theory 48 (3) (2002)
Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray
Robust image classification based on a non-causal hidden Markov Gauss mixture model. ICIP (3) (2002)
Kyungsuk Pyun, Chee Sun Won, Johan Lim, Robert M. Gray
Texture classification based on multiple Gauss mixture vector quantizers. ICME (2) (2002)
Chee Sun Won, Kyungsuk Pyun, Robert M. Gray
Automatic object segmentation in images with low depth of field. ICIP (3) (2002)
Robert M. Gray
Gauss mixture vector quantization. ICASSP (2001)
Maya R. Gupta, Robert M. Gray
Color conversions using maximum entropy estimation. ICIP (1) (2001)
Ken K. Lin, Robert M. Gray
Video Residual Coding Using SPIHT and Dependent Optimization. Data Compression Conference (2001)
James Ze Wang, Jia Li, Robert M. Gray, Gio Wiederhold
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field. IEEE Trans. Pattern Anal. Mach. Intell. 23 (1) (2001)
Robert M. Gray, John C. Young, Anuradha K. Aiyer
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures. ICIP (3) (2001)
Robert M. Gray, Jia Li
On Zador's Entropy-Constrained Quantization Theorem. Data Compression Conference (2001)
Xin Tong, Robert M. Gray
Interactive view synthesis from compressed light fields. ICIP (2) (2001)
Joyce Shih, Anuradha K. Aiyer, Robert M. Gray
A Lagrangian formulation of high rate quantization. ICASSP (2001)
Ken K. Lin, Robert M. Gray
Rate-Distortion Optimization for the SPHIT Encoder. Data Compression Conference (2001)
Jia Li, Robert M. Gray
Context-based multiscale classification of document images using wavelet coefficient distributions. IEEE Trans. Image Process. 9 (9) (2000)
Jia Li, Robert M. Gray, Richard A. Olshen
Multiresolution image classification by hierarchical modeling with two-dimensional hidden Markov models. IEEE Trans. Inf. Theory 46 (5) (2000)
Xin Tong, Robert M. Gray
Coding of multi-view images for immersive viewing. ICASSP (2000)
Jia Li, Amir Najmi, Robert M. Gray
Image classification by a two-dimensional hidden Markov model. IEEE Trans. Signal Process. 48 (2) (2000)
Anuradha K. Aiyer, Robert M. Gray
Fast Classification Using Weighted Distortion. ICIP (2000)
Ken K. Lin, Robert M. Gray
Vector Quantization of Video with Two Codebooks. Data Compression Conference (1999)
Jia Li, Amir Najmi, Robert M. Gray
Image classification by a two dimensional hidden Markov model. ICASSP (1999)
Jia Li, James Ze Wang, Robert M. Gray, Gio Wiederhold
Multiresolution Object-of-Interest Detection for Images with Low Depth of Field. ICIAP (1999)
Jia Li, Robert M. Gray, Richard A. Olshen
Joint Image Compression and Classification with Vector Quantization and a Two Dimensional Hidden Markov Model. Data Compression Conference (1999)
Anuradha K. Aiyer, Robert M. Gray
A FastTable-Lookup Algorithm for Classifying Document Images. ICIP (1) (1999)
Jia Li, Robert M. Gray
Image Classification Based on a Multiresolution Two Dimensional Hidden Markov Model. ICIP (1) (1999)
Rick A. Vander Kam, Ping Wah Wong, Robert M. Gray
JPEG-compliant perceptual coding for a grayscale image printing pipeline. IEEE Trans. Image Process. 8 (1) (1999)
Michelle Effros, Philip A. Chou, Robert M. Gray
Weighted universal image compression. IEEE Trans. Image Process. 8 (10) (1999)
Jia Li, Navin Chaddha, Robert M. Gray
Asymptotic Performance of Vector Quantizers with a Perceptual Distortion Measure. IEEE Trans. Inf. Theory 45 (4) (1999)
Jia Li, Robert M. Gray
Context based Multiscale Classification of Images. ICIP (3) (1998)
Jia Li, Robert M. Gray
Text and Picture Segmentation by the Distribution Analysis of Wavelet Coefficients. ICIP (3) (1998)
B. J. Betts, Anuradha K. Aiyer, J. Li, D. Ikeda, R. Birdwell, Robert M. Gray, Richard A. Olshen
Management and Lesion Detection Effects of Lossy Image Compression on Digitized Mammograms. Digital Mammography / IWDM (1998)
Robert M. Gray, Keren Perlmutter, Richard A. Olshen
Quantization, Classification, and Density Estimation for Kohonen's Gaussian Mixture. Data Compression Conference (1998)
Robert M. Gray, David L. Neuhoff
Quantization. IEEE Trans. Inf. Theory 44 (6) (1998)
Sheila S. Hemami, Robert M. Gray
Subband filters optimized for lost coefficient reconstruction. IEEE Trans. Signal Process. 45 (3) (1997)
Sharon M. Perlmutter, Pamela C. Cosman, Robert M. Gray, Richard A. Olshen, D. Ikeda, C. N. Adams, B. J. Betts, Mark B. Williams, Keren Perlmutter, Jia Li, Anuradha K. Aiyer, Laurie Lee Fajardo, R. Birdwell, B. L. Daniel
Image quality in lossy compressed digital mammograms. Signal Process. 59 (2) (1997)
Robert M. Gray, Richard A. Olshen
Vector quantization and density estimation. SEQUENCES (1997)
Amir Najmi, Richard A. Olshen, Robert M. Gray
A criterion for model selection using minimum description length. SEQUENCES (1997)
Bernd Girod, Robert M. Gray
Editorial. Signal Process. 59 (2) (1997)
Sheila S. Hemami, Robert M. Gray
Subband-coded image reconstruction for lossy packet networks. IEEE Trans. Image Process. 6 (4) (1997)
Navin Chaddha, Sanjeev Mehrotra, Robert M. Gray
Finite state hierarchical table-lookup vector quantization for images. ICASSP (1996)
Philip A. Chou, Michelle Effros, Robert M. Gray
A vector quantization approach to universal noiseless coding and quantization. IEEE Trans. Inf. Theory 42 (4) (1996)
Pamela C. Cosman, Robert M. Gray, Martin Vetterli
Vector quantization of image subbands: a survey. IEEE Trans. Image Process. 5 (2) (1996)
Keren Perlmutter, Sharon M. Perlmutter, Robert M. Gray, Richard A. Olshen, Karen L. Oehler
Bayes risk weighted vector quantization with posterior estimation for image compression and classification. IEEE Trans. Image Process. 5 (2) (1996)
Sanjeev Mehrotra, Navin Chaddha, Robert M. Gray
Predictive hierarchical table-lookup vector quantization with quadtree encoding. ICIP (3) (1996)
Keren Perlmutter, Navin Chaddha, Jonathan B. Buckheit, Robert M. Gray, Richard A. Olshen
Text segmentation in mixed-mode images using classification trees and transform tree-structured vector quantization. ICASSP (1996)

Robert M. Gray.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Robert M. Gray