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References
- 1
-
S. G. Akl.
The Design and Analysis of Parallel Algorithms.
Prentice-Hall, Englewood Cliffs, NJ, 1989.
- 2
-
D. A. Bader, J. JáJá, and R. Chellappa.
Scalable Data Parallel Algorithms for Texture Synthesis and
Compression Using Gibbs Random Fields.
Technical Report CS-TR-3123 and UMIACS-TR-93-80, UMIACS and
Electrical Engineering, University of Maryland, College Park, MD, August
1993.
- 3
-
J. E. Besag and P. A. P. Moran.
On the Estimation and Testing of Spacial Interaction in Gaussian
Lattice Processes.
Biometrika, 62:555--562, 1975.
- 4
-
G. E. Blelloch.
data layout for the CM-2.
Personal Communications, August 17, 1993.
- 5
-
G. E. Blelloch, C. E. Leiserson, B. M. Maggs, C. G. Plaxton, S. J. Smith, and
M. Zagha.
A Comparison of Sorting Algorithms for the Connection Machine CM-2.
In Proceedings of the ACM Symposium on Parallel Algorithms and
Architectures, pages 3--16, July 1991.
- 6
-
R. Chellappa.
Two-Dimensional Discrete Gaussian Markov Random Field Models for
Image Processing.
In L. N. Kanal and A. Rosenfeld, editors, Progress in Pattern
Recognition, volume 2, pages 79--112. Elsevier Science Publishers B. V.,
1985.
- 7
-
R. Chellappa and S. Chatterjee.
Classification of Textures Using Gaussian Markov Random Fields.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
33:959--963, August 1985.
- 8
-
R. Chellappa, S. Chatterjee, and R. Bagdazian.
Texture Synthesis and Compression Using Gaussian-Markov Random Field
Models.
IEEE Transactions on Systems, Man, and Cybernetics,
15:298--303, March 1985.
- 9
-
R. Chellappa, Y. H. Hu, and S. Y. Kung.
On Two-Dimensional Markov Spectral Estimation.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
ASSP-31:836--841, August 1983.
- 10
-
R. Chellappa and R. L. Kashyap.
Synthetic Generation and Estimation in Random Field Models of
Images.
In IEEE Comp. Soc. Comf. on Pattern Recog. and Image
Processing, pages 577--582, Dallas, TX, August 1981.
- 11
-
R. Chellappa and R. L. Kashyap.
Texture Synthesis Using 2-D Noncausal Autoregressive Models.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
ASSP-33:194--203, February 1985.
- 12
-
F. S. Cohen.
Markov Random Fields for Image Modelling & Analysis.
In U. Desai, editor, Modelling and Applications of Stochastic
Processes, chapter 10, pages 243--272. Kluwer Academic Press, Boston, MA,
1986.
- 13
-
F. S. Cohen and D. B. Cooper.
Simple Parallel hierarchical and relaxation algorithms for
segmenting noncausal Markovian fields.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI-9:195--219, March 1987.
- 14
-
G. R. Cross and A. K. Jain.
Markov Random Field Texture Models.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI-5:25--39, January 1983.
- 15
-
H. Derin.
The Use of Gibbs Distributions In Image Processing.
In Blake and H. V. Poor, editors, Communications and Networks,
chapter 11, pages 266--298. Springer-Verlag, New York, 1986.
- 16
-
H. Derin and H. Elliott.
Modeling and segmentation of noisy and textured images using Gibbs
random fields.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI-9:39--55, January 1987.
- 17
-
R. C. Dubes and A. K. Jain.
Random Field Models in Image Analysis.
Journal of Applied Statistics, 16:131--164, 1989.
- 18
-
S. Geman and D. Geman.
Stochastic Relaxation, Gibbs Distributions, and the Bayesian
Restoration of Images.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI-6:721--741, November 1984.
- 19
-
R. I. Greenberg and C. E. Leiserson.
Randomized Routing on Fat-Trees.
Advances in Computing Research, 5:345--374, 1989.
- 20
-
J. JáJá.
An Introduction to Parallel Algorithms.
Addison-Wesley Publishing Company, New York, 1992.
- 21
-
F. C. Jeng, J. W. Woods, and S. Rastogi.
Compound Gauss-Markov Random Fields for Parallel Image Processing.
In R. Chellappa and A. K. Jain, editors, Markov Random Fields:
Theory and Application, chapter 2, pages 11--38. Academic Press, Boston,
MA, 1993.
Bell Communications Research and ECSE Department, Renssalaer
Polytechnic Institute.
- 22
-
S. L. Johnsson, M. Jacquemin, and R. L. Krawitz.
Communications Efficient Multi-Processor FFT.
Journal of Computational Physics, 102:381--397, 1992.
- 23
-
S. L. Johnsson and R. L. Krawitz.
Cooley - Tukey FFT on the Connection Machine.
Parallel Computing, 18:1201--1221, 1992.
- 24
-
R. L. Kashyap.
Univariate and Multivariate Random Field Models for Images.
Computer Graphics and Image Processing, 12:257--270, 1980.
- 25
-
R. L. Kashyap and R. Chellappa.
Estimation and Choice of Neighbors in Spacial Interaction Models of
Images.
IEEE Transactions on Information Theory, IT-29:60--72, January
1983.
- 26
-
H. Künsch.
Thermodynamics and Statistical Analysis of Gaussian Random Fields.
Zeitschrift für Wahrscheinlichkeitstheorie verwandte
Gebiete, 58:407--421, November 1981.
- 27
-
O. J. Kwon and R. Chellappa.
Segmentation-based image compression.
Optical Engineering, 32:1581--1587, July 1993.
(Invited Paper).
- 28
-
C. E. Leiserson.
Fat-Trees: Universal Networks for Hardware-Efficient
Supercomputing.
IEEE Transactions on Computers, C-34:892--901, October 1985.
- 29
-
C. E. Leiserson, Z. S. Abuhamdeh, D. C. Douglas, C. R. Feynman, M. N. Ganmukhi,
J. V. Hill, W. D. Hillis, B. C. Kuszmaul, M. A. St. Pierre, D. S. Wells,
M. C. Wong, S. W. Yang, and R. Zak.
The Network Architecture of the Connection Machine CM-5.
(Extended Abstract), July 28, 1992.
- 30
-
M. Lin, R. Tsang, D. H. C. Du, A. E. Klietz, and S. Saroff.
Performance Evaluation of the CM-5 Interconnection Network.
Technical Report AHPCRC Preprint 92-111, University of Minnesota
AHPCRC, October 1992.
- 31
-
F. A. Lootsma and K. M. Ragsdell.
State-of-the-art in Parallel Nonlinear Optimization.
Parallel Computing, 6:133--155, 1988.
- 32
-
B. S. Manjunath, T. Simchony, and R. Chellappa.
Stochastic and Deterministic Networks for Texture Segmentation.
IEEE Transactions on Acoustics, Speech, and Signal Processing,
ASSP-38:1039--1049, June 1990.
- 33
-
J. Max.
Quantizing for Minimum Distortion.
IRE Transactions on Information Theory, IT-16:7--12, March
1960.
- 34
-
J. Palmer and G. L. Steele Jr.
Connection Machine Model CM-5 System Overview.
In The Fourth Symposium on the Frontiers of Massively Parallel
Computation, pages 474--483, Los Alamitos, CA, October 1992. IEEE Computer
Society Press.
- 35
-
T. Poggio and D. Weinschall.
The MIT Vision Machine: Progress in the Integration of Vision
Models.
In R. Chellappa and A. K. Jain, editors, Markov Random Fields:
Theory and Application. Academic Press, Boston, MA, 1993.
- 36
-
B. T. Polyak.
Introduction to Optimization.
Optimization Software, Inc., New York, 1987.
- 37
-
T. Simchony, R. Chellappa, and Z. Lichtenstein.
Relaxation Algorithms for MAP Estimation of Gray-Level Images with
Multiplicative Noise.
IEEE Transactions on Information Theory, IT-36:608--613, May
1990.
- 38
-
Thinking Machines Corporation, Cambridge, MA.
Programming Guide, Version 6.0.2 edition, June
1991.
- 39
-
Thinking Machines Corporation, Cambridge, MA.
Paris Reference Manual, Version 6.0 edition, June 1991.
- 40
-
Thinking Machines Corporation, Cambridge, MA.
The Connection Machine CM-5 Technical Summary, January 1992.
- 41
-
Thinking Machines Corporation, Cambridge, MA.
CMMD Reference Manual, 3.0 edition, May 1993.
- 42
-
Thinking Machines Corporation, Cambridge, MA.
CMSSL for CM Fortran, CM-5 Edition, Version 3.1 edition,
June 1993.
- 43
-
Thinking Machines Corporation, Cambridge, MA.
Programming Guide, May 1993.
- 44
-
R. Whaley.
data layout for the CM-2.
Personal Communications, August 17, 1993.
- 45
-
R. Whaley.
data layout for the CM-5.
Personal Communications, June 8, 1993.
- 46
-
J. W. Woods.
Two-Dimensional Discrete Markovian Random Fields.
IEEE Transactions on Information Theory, IT-18:232--240, March
1972.
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David A. Bader
dbader@umiacs.umd.edu