Haluk Derin

Affiliations: 
University of Massachusetts, Amherst, Amherst, MA 
Area:
Electronics and Electrical Engineering, Computer Science
Website:
https://www.umass.edu/pubaffs/chronicle/archives/02/03-01/derin.htm
Google:
"Haluk Derin"
Bio:

(1945 - 2002)

Parents

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John B. Thomas grad student 1972 Princeton (E-Tree)
 (On the properties of series expansions of bivariate distributions)
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Publications

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Hsu WL, Derin H. (1997) Spatial and Frequency Decomposition for Image Compression Journal of Visual Communication and Image Representation. 8: 235-249
Won CS, Derin H. (1992) Unsupervised segmentation of noisy and textured images using Markov random fields Cvgip: Graphical Models and Image Processing. 54: 308-328
Derin H, Kelly PA, Vézina G, et al. (1990) Modeling and Segmentation of Speckled Images Using Complex Data Ieee Transactions On Geoscience and Remote Sensing. 28: 76-87
Lakshmanan S, Derin H. (1989) Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing Ieee Transactions On Pattern Analysis and Machine Intelligence. 11: 799-813
Kelly PA, Derin H, Hartt KD. (1988) Adaptive Segmentation of Speckled Images Using a Hierarchical Random Field Model Ieee Transactions On Acoustics, Speech, and Signal Processing. 36: 1628-1641
Derin H, Elliott H. (1987) Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields Ieee Transactions On Pattern Analysis and Machine Intelligence. 39-55
Derin H, Won CS. (1987) A parallel image segmentation algorithm using relaxation with varying neighborhoods and its mapping to array processors Computer Vision, Graphics and Image Processing. 40: 54-78
Derin H, Cole WS. (1986) Segmentation of textured images using Gibbs random fields Graphical Models \/Graphical Models and Image Processing \/Computer Vision, Graphics, and Image Processing. 35: 72-98
Derin H, Askar M. (1985) Optimal sequential smoothing with uncertain observations International Journal of Control. 41: 1077-1086
Derin H, Elliott H, Cristi R, et al. (1984) Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields Ieee Transactions On Pattern Analysis and Machine Intelligence. 707-720
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