Richard A. Olshen

发表

Bayes risk weighted tree-structured vector quantization with posterior estimation

Robert M. Gray, Keren Perlmutter, Karen L. Oehler, 1994, Proceedings of IEEE Data Compression Conference (DCC'94).

Pruned tree-structured vector quantization of medical images with segmentation and improved prediction

Giovanni Poggi, Richard A. Olshen, R. Olshen, 1995, IEEE Trans. Image Process..

Successive Standardization of Rectangular Arrays

Richard A. Olshen, Bala Rajaratnam, 2012, Algorithms.

Joint image compression and classification with vector quantization and a two dimensional hidden Markov model

Robert M. Gray, Jia Li, Richard A. Olshen, 1999, Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096).

Predictive vector quantization with ridge regression

Robert M. Gray, Richard A. Olshen, Cheryl L. Nash, 1996, Proceedings of Data Compression Conference - DCC '96.

Management and Lesion Detection Effects of Lossy Image Compression on Digitized Mammograms

Robert M. Gray, J. Li, Richard A. Olshen, 1998, Digital Mammography / IWDM.

Evaluating Quality and Utility of Digital Mammograms and Lossy Compressed Digital Mammograms

Pamela C. Cosman, Sharon M. Perlmutter, Richard A. Olshen, 1996 .

Nonparametric supervised learning by linear interpolation with maximum entropy

Maya R. Gupta, Robert M. Gray, Richard A. Olshen, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Successive Normalization of Rectangular Arrays: Rates of Convergence

Richard A. Olshen, Bala Rajaratnam, 2011, 2011 First International Conference on Data Compression, Communications and Processing.

Bayes risk weighted vector quantization with posterior estimation for image compression and classification

Robert M. Gray, Keren Perlmutter, Sharon M. Perlmutter, 1996, IEEE Trans. Image Process..

Quality evaluation for compressed medical images: statistical issues

Pamela C. Cosman, Robert M. Gray, Richard A. Olshen, 2000 .

Termination and continuity of greedy growing for tree-structured vector quantizers

Andrew B. Nobel, Richard A. Olshen, 1996, IEEE Trans. Inf. Theory.

Text segmentation in mixed-mode images using classification trees and transform tree-structured vector quantization

Robert M. Gray, Keren Perlmutter, Richard A. Olshen, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

A criterion for model selection using minimum description length

Robert M. Gray, Amir Najmi, Richard A. Olshen, 1997, Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171).

Optimal Localization by Pointing Off Axis

Margaret L. Brandeau, Richard A. Olshen, Charles J. Stone, 2010 .

Quality evaluation for compressed medical images: fundamentals

Robert M. Gray, Richard A. Olshen, Pamela C. Cosman, 2000 .

Medical Image Compression and Vector Quantization

Pamela C. Cosman, Richard A. Olshen, Robert M. Gray, 1998 .

Tree-structured vector quantization of CT chest scans: image quality and diagnostic accuracy

Pamela C. Cosman, Robert M. Gray, Eve A. Riskin, 1993, IEEE Trans. Medical Imaging.

CART: Classification and Regression Trees

Richard A. Olshen, Charles J. Stone, Leo Breiman, 1984 .

THE APPLICATION OF SPLINE FUNCTIONS TO THE PHARMACOKINETIC ANALYSIS OF METHOTREXATE INFUSED INTO MALIGNANT EFFUSIONS11Supported by National Cancer Institute Grants CA-23100 and CA-23334, National Science Foundation Grants MCS-7901800 and MCS-7906228, and National Institutes of Health Grant CA-26666.

Stephen B. Howell, Richard A. Olshen, John A. Rice, 1983 .

Measurement accuracy as a measure of image quality in compressed MR chest scans

Pamela C. Cosman, Robert M. Gray, Sharon M. Perlmutter, 1994, Proceedings of 1st International Conference on Image Processing.

Assessing gene-level translational control from ribosome profiling

Richard A. Olshen, Adam B. Olshen, Davide Ruggero, 2013, Bioinform..

Image quality in lossy compressed digital mammograms

Pamela C. Cosman, Robert M. Gray, Keren Perlmutter, 1997, Signal Process..

Bayes Rules and Partitions

Richard A. Olshen, Charles J. Stone, Leo Breiman, 2017 .

Bayes risk weighted vector quantization with CART estimated class posteriors

Robert M. Gray, Keren Perlmutter, Sharon M. Perlmutter, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Segmentation and Improved Prediction Medical Images

Giovanni Poggi, Richard A. Olshen, R. Olshen, 1995 .

Variable Rate Vector Quantization of Images Using Decision Trees

Robert M. Gray, Richard A. Olshen, Eve A. Riskin, 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic accuracy

Pamela C. Cosman, Robert M. Gray, Richard A. Olshen, 1994, Proc. IEEE.

Quantization, classification, and density estimation for Kohonen's Gaussian mixture

Robert M. Gray, Keren Perlmutter, Richard A. Olshen, 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

Parent-specific copy number in paired tumor-normal studies using circular binary segmentation

Paul T. Spellman, Richard A. Olshen, Adam B. Olshen, 2011, Bioinform..

Multiresolution image classification by hierarchical modeling with two-dimensional hidden Markov models

Robert M. Gray, Jia Li, Richard A. Olshen, 2000, IEEE Trans. Inf. Theory.

Clustering in the Service of the Public's Health

Richard A. Olshen, Leslie A. Lenert, Catherine A. Sugar, 1999 .

Introduction To Tree Classification

Richard A. Olshen, Charles J. Stone, Leo Breiman, 2017 .

Vector quantization and density estimation

Robert M. Gray, Richard A. Olshen, R. Gray, 1997, Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171).

High-throughput sequencing insights into T-cell receptor repertoire diversity in aging

Richard A. Olshen, Qian Qi, R. Olshen, 2015, Genome Medicine.

Vector quantization of amino acids: Analysis of the HIV V3 loop region

Peter J. Bickel, Pamela C. Cosman, Richard A. Olshen, 2005 .

Random Quotients and the Behrens-Fisher Problem

Richard A. Olshen, Morris L. Eaton, M. L. Eaton, 1972 .

A generalized unimodality

Richard A. Olshen, Leonard J. Savage, L. J. Savage, 1970, Journal of Applied Probability.

Diversity and clonal selection in the human T-cell repertoire

Richard A. Olshen, Yi Liu, Qian Qi, 2014, Proceedings of the National Academy of Sciences.

Predicting high-risk cholesterol levels

Heping Zhang, Richard A. Olshen, E. S. Venkatraman, 1994 .

Risk Estimation for Classification Trees

Richard A. Olshen, Michael G. Walker, Daniel A. Bloch, 2001 .

Diversification of the antigen-specific T cell receptor repertoire after varicella zoster vaccination

Gary E. Swan, Richard A. Olshen, Qian Qi, 2016, Science Translational Medicine.

HOW BROAD IS THE CLASS OF NORMAL SCALE MIXTURES

Bradley Efron, Richard A. Olshen, B. Efron, 1978 .

Single nucleotide polymorphisms in protein tyrosine phosphatase 1beta (PTPN1) are associated with essential hypertension and obesity.

Chao A. Hsiung, Richard A. Olshen, Michael Olivier, 2004, Human molecular genetics.

Gait Analysis and the Bootstrap

Richard A. Olshen, Edmund Biden, David H. Sutherland, 1989 .

Tree-structured vector quantization with region-based classification

Pamela C. Cosman, Robert M. Gray, Eve A. Riskin, 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

Discussion: Theoretical Comparison of Bootstrap Confidence Intervals

Richard A. Olshen, Chong-En Bai, 1988 .

Genetic variation in aldosterone synthase predicts plasma glucose levels

David Botstein, Richard A. Olshen, Low-Tone Ho, 2001, Proceedings of the National Academy of Sciences of the United States of America.