2008 |
109 | EE | Emily B. Fox,
Erik B. Sudderth,
Michael I. Jordan,
Alan S. Willsky:
An HDP-HMM for systems with state persistence.
ICML 2008: 312-319 |
108 | EE | Walter Sun,
Müjdat Çetin,
Raymond Chan,
Alan S. Willsky:
Segmentation of the evolving left ventricle by learning the dynamics.
ISBI 2008: 229-232 |
107 | EE | Emily B. Fox,
Erik B. Sudderth,
Michael I. Jordan,
Alan S. Willsky:
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems.
NIPS 2008: 457-464 |
106 | EE | Sujay Sanghavi,
Devavrat Shah,
Alan S. Willsky:
Message-passing for Maximum Weight Independent Set
CoRR abs/0807.5091: (2008) |
105 | EE | Jason K. Johnson,
Alan S. Willsky:
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields.
IEEE Transactions on Image Processing 17(1): 70-83 (2008) |
104 | EE | Walter Sun,
Müdat Çetin,
Raymond Chan,
Alan S. Willsky:
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects.
IEEE Transactions on Image Processing 17(11): 2186-2200 (2008) |
103 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Describing Visual Scenes Using Transformed Objects and Parts.
International Journal of Computer Vision 77(1-3): 291-330 (2008) |
2007 |
102 | EE | Andy Tsai,
Carl-Fredrik Westin,
Alfred O. Hero,
Alan S. Willsky:
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs.
CVPR 2007 |
101 | EE | Ayres C. Fan,
John W. Fisher III,
William M. Wells III,
James J. Levitt,
Alan S. Willsky:
MCMC Curve Sampling for Image Segmentation.
MICCAI (2) 2007: 477-485 |
100 | EE | Venkat Chandrasekaran,
Jason K. Johnson,
Alan S. Willsky:
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis.
NIPS 2007 |
99 | EE | Sujay Sanghavi,
Dmitry M. Malioutov,
Alan S. Willsky:
Linear programming analysis of loopy belief propagation for weighted matching.
NIPS 2007 |
98 | EE | Erik B. Sudderth,
Martin J. Wainwright,
Alan S. Willsky:
Loop Series and Bethe Variational Bounds in Attractive Graphical Models.
NIPS 2007 |
97 | EE | Sujay Sanghavi,
Devavrat Shah,
Alan S. Willsky:
Message Passing for Max-weight Independent Set.
NIPS 2007 |
96 | EE | Jason K. Johnson,
Dmitry M. Malioutov,
Alan S. Willsky:
Lagrangian Relaxation for MAP Estimation in Graphical Models
CoRR abs/0710.0013: (2007) |
95 | EE | Emily B. Fox,
John W. Fisher III,
Alan S. Willsky:
Detection and Localization of Material Releases With Sparse Sensor Configurations.
IEEE Transactions on Signal Processing 55(5-1): 1886-1898 (2007) |
94 | EE | Junmo Kim,
Müjdat Çetin,
Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation.
Signal Processing 87(12): 3021-3044 (2007) |
2006 |
93 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes.
CVPR (2) 2006: 2410-2417 |
92 | EE | Dmitry M. Malioutov,
Jason K. Johnson,
Alan S. Willsky:
Walk-Sums and Belief Propagation in Gaussian Graphical Models.
Journal of Machine Learning Research 7: 2031-2064 (2006) |
91 | EE | Lakshminarayan Srinivasan,
Uri T. Eden,
Alan S. Willsky,
Emery N. Brown:
A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals.
Neural Computation 18(10): 2465-2494 (2006) |
2005 |
90 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Learning Hierarchical Models of Scenes, Objects, and Parts.
ICCV 2005: 1331-1338 |
89 | EE | Walter Sun,
Müjdat Çetin,
Raymond Chan,
Vivek Reddy,
Godtfred Holmvang,
Venkat Chandar,
Alan S. Willsky:
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images.
IPMI 2005: 553-565 |
88 | EE | Erik B. Sudderth,
Antonio B. Torralba,
William T. Freeman,
Alan S. Willsky:
Describing Visual Scenes using Transformed Dirichlet Processes.
NIPS 2005 |
87 | EE | O. Patrick Kreidl,
Alan S. Willsky:
Inference with Minimal Communication: a Decision-Theoretic Variational Approach.
NIPS 2005 |
86 | EE | Jason K. Johnson,
Dmitry M. Malioutov,
Alan S. Willsky:
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation.
NIPS 2005 |
85 | EE | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
MAP estimation via agreement on (hyper)trees: Message-passing and linear programming
CoRR abs/cs/0508070: (2005) |
84 | EE | Alexander T. Ihler,
John W. Fisher III,
Randolph L. Moses,
Alan S. Willsky:
Nonparametric belief propagation for self-localization of sensor networks.
IEEE Journal on Selected Areas in Communications 23(4): 809-819 (2005) |
83 | EE | Junmo Kim,
John W. Fisher III,
Anthony J. Yezzi,
Müjdat Çetin,
Alan S. Willsky:
A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution.
IEEE Transactions on Image Processing 14(10): 1486-1502 (2005) |
82 | EE | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
MAP estimation via agreement on trees: message-passing and linear programming.
IEEE Transactions on Information Theory 51(11): 3697-3717 (2005) |
81 | EE | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
A new class of upper bounds on the log partition function.
IEEE Transactions on Information Theory 51(7): 2313-2335 (2005) |
80 | EE | Ilya Pollak,
Alan S. Willsky,
Yan Huang:
Nonlinear evolution equations as fast and exact solvers of estimation problems.
IEEE Transactions on Signal Processing 53(2-1): 484-498 (2005) |
79 | EE | Dmitry M. Malioutov,
Müjdat Çetin,
Alan S. Willsky:
A sparse signal reconstruction perspective for source localization with sensor arrays.
IEEE Transactions on Signal Processing 53(8-2): 3010-3022 (2005) |
78 | EE | Alexander T. Ihler,
John W. Fisher III,
Alan S. Willsky:
Loopy Belief Propagation: Convergence and Effects of Message Errors.
Journal of Machine Learning Research 6: 905-936 (2005) |
2004 |
77 | EE | Alexander T. Ihler,
John W. Fisher III,
Randolph L. Moses,
Alan S. Willsky:
Nonparametric belief propagation for self-calibration in sensor networks.
IPSN 2004: 225-233 |
76 | EE | Andy Tsai,
William M. Wells III,
Simon K. Warfield,
Alan S. Willsky:
Level Set Methods in an EM Framework for Shape Classification and Estimation.
MICCAI (1) 2004: 1-9 |
75 | EE | Erik B. Sudderth,
Michael I. Mandel,
William T. Freeman,
Alan S. Willsky:
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation.
NIPS 2004 |
74 | EE | Alexander T. Ihler,
John W. Fisher III,
Alan S. Willsky:
Message Errors in Belief Propagation.
NIPS 2004 |
73 | EE | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations.
Statistics and Computing 14(2): 143-166 (2004) |
2003 |
72 | EE | Erik B. Sudderth,
Alexander T. Ihler,
William T. Freeman,
Alan S. Willsky:
Nonparametric Belief Propagation.
CVPR (1) 2003: 605-612 |
71 | | Junmo Kim,
John W. Fisher III,
Müjdat Çetin,
Anthony J. Yezzi,
Alan S. Willsky:
Incorporating complex statistical information in active contour-based image segmentation.
ICIP (2) 2003: 655-658 |
70 | EE | Ayres C. Fan,
William M. Wells III,
John W. Fisher III,
Müjdat Çetin,
Steven Haker,
Robert V. Mulkern,
Clare M. Tempany,
Alan S. Willsky:
A Unified Variational Approach to Denoising and Bias Correction in MR.
IPMI 2003: 148-159 |
69 | EE | Andy Tsai,
William M. Wells III,
Clare M. Tempany,
W. Eric L. Grimson,
Alan S. Willsky:
Coupled Multi-shape Model and Mutual Information for Medical Image Segmentation.
IPMI 2003: 185-197 |
68 | EE | Alexander T. Ihler,
John W. Fisher III,
Alan S. Willsky:
Hypothesis Testing over Factorizations for Data Association.
IPSN 2003: 239-253 |
67 | EE | Alexander T. Ihler,
Erik B. Sudderth,
William T. Freeman,
Alan S. Willsky:
Efficient Multiscale Sampling from Products of Gaussian Mixtures.
NIPS 2003 |
66 | | Andy Tsai,
Anthony J. Yezzi,
William M. Wells III,
Clare M. Tempany,
Dewey Tucker,
Ayres C. Fan,
W. Eric L. Grimson,
Alan S. Willsky:
A Shape-Based Approach to the Segmentation of Medical Imagery Using Level Sets.
IEEE Trans. Med. Imaging 22(2): 137-154 (2003) |
65 | | Austin B. Frakt,
Hanoch Lev-Ari,
Alan S. Willsky:
A generalized Levinson algorithm for covariance extension with application to multiscale autoregressive modeling.
IEEE Transactions on Information Theory 49(2): 411-424 (2003) |
64 | | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
Tree-based reparameterization framework for analysis of sum-product and related algorithms.
IEEE Transactions on Information Theory 49(5): 1120-1146 (2003) |
2002 |
63 | | Junmo Kim,
Andy Tsai,
Müjdat Çetin,
Alan S. Willsky:
A curve evolution-based variational approach to simultaneous image restoration and segmentation.
ICIP (1) 2002: 109-112 |
62 | | Müjdat Çetin,
William Clement Karl,
Alan S. Willsky:
Edge-preserving image reconstruction for coherent imaging applications.
ICIP (2) 2002: 481-484 |
61 | | Junmo Kim,
John W. Fisher III,
Anthony J. Yezzi Jr.,
Müjdat Çetin,
Alan S. Willsky:
Nonparametric methods for image segmentation using information theory and curve evolution.
ICIP (3) 2002: 797-800 |
60 | EE | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
Exact MAP Estimates by (Hyper)tree Agreement.
NIPS 2002: 809-816 |
59 | | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
A New Class of upper Bounds on the Log Partition Function.
UAI 2002: 536-543 |
2001 |
58 | EE | Andy Tsai,
Anthony J. Yezzi,
William M. Wells III,
Clare M. Tempany,
Dewey Tucker,
Ayres C. Fan,
W. Eric L. Grimson,
Alan S. Willsky:
Model-Based Curve Evolution Technique for Image Segmentation.
CVPR (1) 2001: 463-468 |
57 | EE | Ron O. Dror,
Thomas K. Leung,
Edward H. Adelson,
Alan S. Willsky:
Statistics of Real-World Illumination.
CVPR (2) 2001: 164-171 |
56 | EE | Martin J. Wainwright,
Tommi Jaakkola,
Alan S. Willsky:
Tree-based reparameterization for approximate inference on loopy graphs.
NIPS 2001: 1001-1008 |
55 | EE | Andy Tsai,
Anthony J. Yezzi Jr.,
Alan S. Willsky:
Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.
IEEE Transactions on Image Processing 10(8): 1169-1186 (2001) |
2000 |
54 | EE | Andy Tsai,
Anthony J. Yezzi,
Alan S. Willsky:
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional.
CVPR 2000: 1119-1124 |
53 | | Andy Tsai,
Anthony J. Yezzi,
Alan S. Willsky:
Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications.
ICIP 2000 |
52 | | Martin J. Wainwright,
Eero P. Simoncelli,
Alan S. Willsky:
Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising.
ICIP 2000 |
51 | | Andy Tsai,
Anthony J. Yezzi,
Alan S. Willsky:
A Curve Evolution Approach to Medical Image Magnification via the Mumford-Shah Functional.
MICCAI 2000: 246-255 |
50 | | Junmo Kim,
John W. Fisher III,
Andy Tsai,
Cindy Wible,
Alan S. Willsky,
William M. Wells III:
Incorporating Spatial Priors into an Information Theoretic Approach for fMRI Data Analysis.
MICCAI 2000: 62-71 |
49 | | Martin J. Wainwright,
Erik B. Sudderth,
Alan S. Willsky:
Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.
NIPS 2000: 661-667 |
48 | EE | Ilya Pollak,
Alan S. Willsky,
Hamid Krim:
Image segmentation and edge enhancement with stabilized inverse diffusion equations.
IEEE Transactions on Image Processing 9(2): 256-266 (2000) |
47 | EE | Michael K. Schneider,
Paul W. Fieguth,
William Clement Karl,
Alan S. Willsky:
Multiscale methods for the segmentation and reconstruction of signals and images.
IEEE Transactions on Image Processing 9(3): 456-468 (2000) |
1999 |
46 | EE | Anthony J. Yezzi,
Andy Tsai,
Alan S. Willsky:
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery.
ICCV 1999: 898-903 |
45 | | Anthony J. Yezzi,
Andy Tsai,
Alan S. Willsky:
Binary and Ternary Flows for Image Segmentation.
ICIP (2) 1999: 1-5 |
44 | | Terrence T. Ho,
Paul W. Fieguth,
Alan S. Willsky:
Recursive Multiscale Estimation of Space-Time Random Fields.
ICIP (2) 1999: 867-870 |
43 | | Andy Tsai,
John W. Fisher III,
Cindy Wible,
William M. Wells III,
Junmo Kim,
Alan S. Willsky:
Analysis of Functional MRI Data Using Mutual Information.
MICCAI 1999: 473-480 |
42 | | Khalid Daoudi,
Austin B. Frakt,
Alan S. Willsky:
Multiscale Autoregressive Models and Wavelets.
IEEE Transactions on Information Theory 45(3): 828-845 (1999) |
41 | | Michael M. Daniel,
Alan S. Willsky:
The Modeling and Estimation of Statistically Self-Similar Processes in a Multiresolution Framework.
IEEE Transactions on Information Theory 45(3): 955-970 (1999) |
40 | EE | Seema Jaggi,
William Clement Karl,
Stéphane Mallat,
Alan S. Willsky:
Silhouette recognition using high-resolution pursuit.
Pattern Recognition 32(5): 753-771 (1999) |
1998 |
39 | | Cedric L. Logan,
Hamid Krim,
Alan S. Willsky:
An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging.
ICIP (1) 1998: 9-13 |
38 | | Ilya Pollak,
Hamid Krim,
Alan S. Willsky:
Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images.
ICIP (3) 1998: 246-248 |
37 | | Terrence T. Ho,
Paul W. Fieguth,
Alan S. Willsky:
Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems.
ICIP (3) 1998: 274-278 |
36 | EE | Paul W. Fieguth,
William Clement Karl,
Alan S. Willsky:
Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction.
Computer Vision and Image Understanding 70(2): 157-176 (1998) |
35 | EE | Austin B. Frakt,
William Clement Karl,
Alan S. Willsky:
A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data.
IEEE Transactions on Image Processing 7(6): 825-837 (1998) |
1997 |
34 | EE | John P. Kaufhold,
Michael K. Schneider,
William Clement Karl,
Alan S. Willsky:
A Recursive Estimation Approach to the Segmentation of MR Imagery.
ICIP (2) 1997: 506-509 |
33 | EE | Andrew J. Kim,
Hamid Krim,
Alan S. Willsky:
Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling.
ICIP (3) 1997: 488-491 |
32 | | Ilya Pollak,
Alan S. Willsky,
Hamid Krim:
Scale Space Analysis by Stabilized Inverse Diffusion Equations.
Scale-Space 1997: 200-211 |
31 | EE | Charles H. Fosgate,
Hamid Krim,
William W. Irving,
William Clement Karl,
Alan S. Willsky:
Multiscale segmentation and anomaly enhancement of SAR imagery.
IEEE Transactions on Image Processing 6(1): 7-20 (1997) |
30 | EE | William W. Irving,
Paul W. Fieguth,
Alan S. Willsky:
An overlapping tree approach to multiscale stochastic modeling and estimation.
IEEE Transactions on Image Processing 6(11): 1517-1529 (1997) |
29 | EE | Mickey Bhatia,
William Clement Karl,
Alan S. Willsky:
Tomographic reconstruction and estimation based on multiscale natural-pixel bases.
IEEE Transactions on Image Processing 6(3): 463-478 (1997) |
28 | | John P. Kaufhold,
Michael K. Schneider,
Alan S. Willsky,
William Clement Karl:
A Statistical Method for Efficient Segmentation of MR Imagery.
IJPRAI 11(8): 1213-1231 (1997) |
1996 |
27 | | Lori Belcastro,
William C. Carl,
Alan S. Willsky:
Tomographic Reconstruction of Polygons from Knot Location and Chord Length Measurements.
CVGIP: Graphical Model and Image Processing 58(3): 233-245 (1996) |
26 | EE | Peyman Milanfar,
William Clement Karl,
Alan S. Willsky:
A moment-based variational approach to tomographic reconstruction.
IEEE Transactions on Image Processing 5(3): 459-470 (1996) |
1995 |
25 | EE | Paul W. Fieguth,
William W. Irving,
Alan S. Willsky:
Multiresolution model development for overlapping trees via canonical correlation analysis.
ICIP 1995: 45-48 |
24 | EE | Michael M. Daniel,
Alan S. Willsky,
Dennis McLaughlin,
Dave Rossi:
A multi-resolution approach for imaging hydraulic conductivity.
ICIP 1995: 637-640 |
23 | EE | Mark R. Luettgen,
Alan S. Willsky:
Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination.
IEEE Transactions on Image Processing 4(2): 194-207 (1995) |
1994 |
22 | | Paul W. Fieguth,
Alan S. Willsky,
William Clement Karl:
Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data.
ICIP (2) 1994: 1-5 |
21 | | Mickey Bhatia,
William Clement Karl,
Alan S. Willsky:
Wavelet-Based Multiscale Stochastic Models for Efficient Tomographic Discrimination of Fractal Fields.
ICIP (2) 1994: 135-139 |
20 | | Peyman Milanfar,
William Clement Karl,
Alan S. Willsky:
Moment-Based Geometric Image Reconstruction.
ICIP (2) 1994: 825-829 |
19 | | Peyman Milanfar,
Robert R. Tenney,
Robert B. Washburn,
Alan S. Willsky:
Modeling and Estimation for a Class of Multiresolution Random Fields.
ICIP (3) 1994: 397-401 |
18 | | William Clement Karl,
George C. Verghese,
Alan S. Willsky:
Reconstructing Ellipsoids from Projections.
CVGIP: Graphical Model and Image Processing 56(2): 124-139 (1994) |
17 | | Peyman Milanfar,
William Clement Karl,
Alan S. Willsky:
Reconstructing Binary Polygonal Objects from Projections: A Statistical View.
CVGIP: Graphical Model and Image Processing 56(5): 371-391 (1994) |
16 | EE | Mark R. Luettgen,
William Clement Karl,
Alan S. Willsky:
Efficient multiscale regularization with applications to the computation of optical flow.
IEEE Transactions on Image Processing 3(1): 41-64 (1994) |
15 | EE | Toshio Mike Chin,
William Clement Karl,
Alan S. Willsky:
Probabilistic and sequential computation of optical flow using temporal coherence.
IEEE Transactions on Image Processing 3(6): 773-788 (1994) |
1993 |
14 | EE | Jerry L. Prince,
Alan S. Willsky:
Hierarchical reconstruction using geometry and sinogram restoration.
IEEE Transactions on Image Processing 2(3): 401-416 (1993) |
1992 |
13 | | Alan S. Willsky:
Opportunities and Challenges in Signal Processing and Analysis.
25th Anniversary of INRIA 1992: 331-338 |
12 | | Ingrid Daubechies,
Stéphane Mallat,
Alan S. Willsky:
Introduction to the special issue on wavelet transforms and multiresolution signal analysis.
IEEE Transactions on Information Theory 38(2): 529-532 (1992) |
11 | | Michèle Basseville,
Albert Benveniste,
Kenneth C. Chou,
Stuart A. Golden,
Ramine Nikoukhah,
Alan S. Willsky:
Modeling and estimation of multiresolution stochastic processes.
IEEE Transactions on Information Theory 38(2): 766-784 (1992) |
1991 |
10 | EE | Jerry L. Prince,
Alan S. Willsky:
Convex set reconstruction using prior shape information.
CVGIP: Graphical Model and Image Processing 53(5): 413-427 (1991) |
9 | | Ahmed H. Tewfik,
Bernard C. Levy,
Alan S. Willsky:
Internal models and recursive estimation for 2-D isotropic random fields.
IEEE Transactions on Information Theory 37(4): 1055-1066 (1991) |
8 | EE | Cüneyt M. Özveren,
Alan S. Willsky,
Panos J. Antsaklis:
Stability and Stabilizability of Discrete Event Dynamic Systems.
J. ACM 38(3): 730-752 (1991) |
1990 |
7 | EE | Jerry L. Prince,
Alan S. Willsky:
Reconstructing Convex Sets from Support Line Measurements.
IEEE Trans. Pattern Anal. Mach. Intell. 12(4): 377-389 (1990) |
1988 |
6 | | Ahmed H. Tewfik,
Bernard C. Levy,
Alan S. Willsky:
Sampling theorems for two-dimensional isotropic random fields.
IEEE Transactions on Information Theory 34(5): 1092- (1988) |
5 | EE | Jan Robin Rohlicek,
Alan S. Willsky:
The reduction of perturbed Markov generators: an algorithm exposing the role of transient states.
J. ACM 35(3): 675-696 (1988) |
1986 |
4 | | Martin G. Bello,
Alan S. Willsky,
Bernard C. Levy,
David A. Castañon:
Smoothing error dynamics and their use in the solution of smoothing and mapping problems.
IEEE Transactions on Information Theory 32(4): 483-495 (1986) |
1978 |
3 | | Alan S. Willsky:
On the Algebraic Structure of Certain Partially Observable Finite-State Markov Processes
Information and Control 38(2): 179-212 (1978) |
1975 |
2 | | Alan S. Willsky:
Invertibility of Finite Group Homomorphic Sequential Systems
Information and Control 27(2): 126-147 (1975) |
1974 |
1 | | Roger W. Brockett,
Alan S. Willsky:
Some structural properties of automata defined on groups.
Category Theory Applied to Computation and Control 1974: 112-118 |