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Peter van Beek
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- affiliation: University of Waterloo, Canada
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2020 – today
- 2022
- [c73]Zhenyu Liao, Junyao Duan, Peter van Beek:
On identifying significant edges for structure learning in Bayesian networks. Canadian AI 2022 - [c72]Zhenyu A. Liao, Charupriya Sharma, Dongshu Luo, Peter van Beek:
An empirical study of scoring functions for learning Bayesian networks in model averaging. Canadian AI 2022 - [c71]Peter van Beek, Chyuan-Tyng Wu, Avi Kalderon:
Efficient high-dynamic-range depth map processing with reduced precision neural net accelerator. Autonomous Vehicles and Machines 2022: 1-5 - [c70]Charupriya Sharma, Peter van Beek:
Scalable Bayesian Network Structure Learning with Splines. PGM 2022: 181-192 - [e6]Patrick Denny, Robin B. Jenkin, Peter van Beek:
Autonomous Vehicles and Machines 2022, online, January 15-26, 2022. Society for Imaging Science and Technology 2022 [contents] - 2021
- [c69]Peter van Beek, Chyuan-Tyng (Roger) Wu, Baishali Chaudhury, Thomas R. Gardos:
Boosting computer vision performance by enhancing camera ISP. Autonomous Vehicles and Machines 2021: 1-8 - [c68]Chyuan-Tyng Wu, Peter van Beek, Phillip Schmidt, Joao Peralta Moreira, Thomas R. Gardos:
Evaluation of semi-frozen semi-fixed neural network for efficient computer vision inference. Autonomous Vehicles and Machines 2021: 1-7 - [e5]Patrick Denny, Robin B. Jenkin, Peter van Beek:
Autonomous Vehicles and Machines 2021, online, January 11-28, 2021. Society for Imaging Science and Technology 2021 [contents] - [i9]Charupriya Sharma, Peter van Beek:
Scalable Bayesian Network Structure Learning with Splines. CoRR abs/2110.14626 (2021) - 2020
- [c67]Charupriya Sharma, Zhenyu A. Liao, James Cussens
, Peter van Beek:
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. PGM 2020: 413-424 - [e4]Patrick Denny, Robin B. Jenkin, Peter van Beek:
Autonomous Vehicles and Machines 2020, Burlingame, CA, USA, January 26-30, 2020. Society for Imaging Science and Technology 2020 [contents] - [i8]Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek:
Learning All Credible Bayesian Network Structures for Model Averaging. CoRR abs/2008.13618 (2020) - [i7]Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek:
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. CoRR abs/2011.01444 (2020)
2010 – 2019
- 2019
- [c66]Zhenyu A. Liao, Charupriya Sharma, James Cussens
Finding All Bayesian Network Structures within a Factor of Optimal. AAAI 2019: 7892-7899 - [c65]Peter van Beek:
Improved image selection for stack-based HDR imaging. Photography, Mobile, and Immersive Imaging 2019: 1-7 - [c64]Peter van Beek:
Image-based compression of LiDAR sensor data. Autonomous Vehicles and Machines 2019: 1-7 - [c63]Bernd Gaßmann, Fabian Oboril, Cornelius Bürkle, Shuang Liu, Shoumeng Yan, Maria Soledad Elli, Ignacio J. Alvarez, Naveen Aerrabotu, Suhel Jaber, Peter van Beek, Darshan Iyer, Jack Weast:
Towards Standardization of AV Safety: C++ Library for Responsibility Sensitive Safety. IV 2019: 2265-2271 - 2018
- [c62]Peter van Beek, R. Wayne Oldford:
Illuminant Estimation using Ensembles of Multivariate Regression Trees. Computational Imaging 2018 - [i6]Peter van Beek:
Improved Image Selection for Stack-Based HDR Imaging. CoRR abs/1806.07420 (2018) - [i5]Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek:
Finding All Bayesian Network Structures within a Factor of Optimal. CoRR abs/1811.05039 (2018) - 2017
- [c61]Jianmei Guo, Eric Blais, Krzysztof Czarnecki, Peter van Beek:
A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization. Canadian AI 2017: 117-128 - [c60]Colin Lee, Peter van Beek:
Metaheuristics for Score-and-Search Bayesian Network Structure Learning. Canadian AI 2017: 129-141 - [c59]Colin Lee, Peter van Beek:
An Experimental Analysis of Anytime Algorithms for Bayesian Network Structure Learning. AMBN 2017: 69-80 - [c58]Soonhac Hong, Ming Li, Miao Liao, Peter van Beek:
Real-time mobile robot navigation based on stereo vision and low-cost GPS. IRIACV 2017: 10-15 - [c57]David Choi, Aliya Pazylbekova, Wuhan Zhou, Peter van Beek:
Improved image selection for focus stacking in digital photography. ICIP 2017: 2761-2765 - [i4]Peter van Beek, R. Wayne Oldford:
Illuminant Estimation using Ensembles of Multivariate Regression Trees. CoRR abs/1703.05354 (2017) - 2016
- [j29]Samaneh Hosseini Semnani, Otman A. Basir
Constrained clustering for flocking-based tracking in maneuvering target environment. Robotics Auton. Syst. 83: 243-250 (2016) - [c56]Anustup Choudhury, Peter van Beek:
Boosting performance and speed of single-image super-resolution based on partitioned linear regression. ICIP 2016: 1419-1423 - 2015
- [j28]Hashim Mir, Peter Xu, Rudi Chen, Peter van Beek:
An autofocus heuristic for digital cameras based on supervised machine learning. J. Heuristics 21(5): 599-616 (2015) - [j27]Rudi Chen, Peter van Beek
Improving the accuracy and low-light performance of contrast-based autofocus using supervised machine learning. Pattern Recognit. Lett. 56: 30-37 (2015) - [c55]Ray Ruvinskiy, Peter van Beek:
An Improved Machine Learning Approach for Selecting a Polyhedral Model Transformation. Canadian AI 2015: 100-113 - [c54]Peter van Beek, Hella-Franziska Hoffmann:
Machine Learning of Bayesian Networks Using Constraint Programming. CP 2015: 429-445 - [c53]Xu Chen, Anustup Choudhury, Peter van Beek, Andrew Segall:
Facial video super resolution using semantic exemplar components. ICIP 2015: 1314-1318 - 2014
- [c52]Zhen Qin, Peter van Beek, Xu Chen:
Direct Matrix Factorization and Alignment Refinement: Application to Defect Detection. CRV 2014: 135-142 - [c51]Hashim Mir, Peter Xu, Peter van Beek:
An extensive empirical evaluation of focus measures for digital photography. Digital Photography 2014: 90230I - [c50]Xinyu Xu, Peter van Beek, Xiaofan Feng:
High-speed object matching and localization using gradient orientation features. Intelligent Robots and Computer Vision: Algorithms and Techniques 2014: 902507 - [e3]Marina Sokolova, Peter van Beek:
Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings. Lecture Notes in Computer Science 8436, Springer 2014, ISBN 978-3-319-06482-6 [contents] - [i3]Wei Li, Pascal Poupart, Peter van Beek:
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference. CoRR abs/1401.3886 (2014) - 2013
- [j26]Mirza Omer Beg, Peter van Beek:
A constraint programming approach for integrated spatial and temporal scheduling for clustered architectures. ACM Trans. Embed. Comput. Syst. 13(1): 14:1-14:23 (2013) - [c49]Qiang Zhang, Peter van Beek, Chang Yuan, Xinyu Xu, Hae Jong Seo, Baoxin Li:
Efficient defect detection with sign information of Walsh Hadamard transform. Image Processing: Machine Vision Applications 2013: 86610A - [c48]Peter van Beek:
Constraint Programming in Compiler Optimization: Lessons Learned. ICTAI 2013: 899 - 2012
- [j25]Tyrel Russell, Peter van Beek:
A hybrid constraint programming and enumeration approach for solving NHL playoff qualification and elimination problems. Eur. J. Oper. Res. 218(3): 819-828 (2012) - [j24]Michael Chase, Abid M. Malik, Tyrel Russell, R. Wayne Oldford, Peter van Beek:
A computational study of heuristic and exact techniques for superblock instruction scheduling. J. Sched. 15(6): 743-756 (2012) - [c47]Anustup Choudhury, Peter van Beek, Andrew Segall:
Image detail enhancement using a dictionary technique. ICIP 2012: 977-980 - [c46]Tyrel Russell, Peter van Beek:
Detecting Manipulation in Cup and Round Robin Sports Competitions. ICTAI 2012: 285-290 - 2011
- [j23]Peter van Beek:
David L. Poole and Alan K. Mackworth, Artificial Intelligence: Foundations of Computational Agents , Cambridge University Press (2010). Artif. Intell. 175(5-6): 932-934 (2011) - [j22]Wei Li, Pascal Poupart, Peter van Beek:
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference. J. Artif. Intell. Res. 40: 729-765 (2011) - [c45]Mirza Omer Beg, Peter van Beek:
A Constraint Programming Approach for Instruction Assignment. Interaction between Compilers and Computer Architectures 2011: 25-34 - [c44]Zijie Li, Peter van Beek:
Finding Small Backdoors in SAT Instances. Canadian AI 2011: 269-280 - [c43]Tyrel Russell, Peter van Beek:
An Empirical Study of Seeding Manipulations and Their Prevention. IJCAI 2011: 350-356 - [i2]Xinguang Chen, Peter van Beek:
Conflict-Directed Backjumping Revisited. CoRR abs/1106.0254 (2011) - 2010
- [c42]Mirza Omer Beg, Peter van Beek:
A graph theoretic approach to cache-conscious placement of data for direct mapped caches. ISMM 2010: 113-120 - [c41]Peter van Beek, Junlan Yang, Shuhei Yamamoto, Yasuhiro Ueda:
Image deblurring and denoising with non-local regularization constraint. Visual Information Processing and Communication 2010: 75430R
2000 – 2009
- 2009
- [j21]Tyrel Russell, Abid M. Malik, Michael Chase, Peter van Beek:
Learning Heuristics for the Superblock Instruction Scheduling Problem. IEEE Trans. Knowl. Data Eng. 21(10): 1489-1502 (2009) - [c40]Tyrel Russell, Peter van Beek:
Determining the Number of Games Needed to Guarantee an NHL Playoff Spot. CPAIOR 2009: 233-247 - 2008
- [j20]Abid M. Malik, Tyrel Russell, Michael Chase, Peter van Beek:
Learning heuristics for basic block instruction scheduling. J. Heuristics 14(6): 549-569 (2008) - [j19]Abid M. Malik, Jim McInnes, Peter van Beek:
Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming. Int. J. Artif. Intell. Tools 17(1): 37-54 (2008) - [j18]Huayue Wu, Peter van Beek:
Portfolios with Deadlines for Backtracking Search. Int. J. Artif. Intell. Tools 17(5): 835-856 (2008) - [j17]Mehmet Umut Demircin, Peter van Beek, Yucel Altunbasak:
Delay-Constrained and R-D Optimized Transrating for High-Definition Video Streaming Over WLANs. IEEE Trans. Multim. 10(6): 1155-1168 (2008) - [c39]Wei Li, Pascal Poupart, Peter van Beek:
Exploiting Causal Independence Using Weighted Model Counting. AAAI 2008: 337-343 - [c38]Tyrel Russell, Peter van Beek:
Mathematically Clinching a Playoff Spot in the NHL and the Effect of Scoring Systems. Canadian AI 2008: 234-245 - [c37]Abid M. Malik, Michael Chase, Tyrel Russell, Peter van Beek:
An Application of Constraint Programming to Superblock Instruction Scheduling. CP 2008: 97-111 - [c36]Hiroyuki Takeda, Peter van Beek, Peyman Milanfar:
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression. ICIP 2008: 637-640 - [r3]Francesca Rossi, Peter van Beek, Toby Walsh:
Constraint Programming. Handbook of Knowledge Representation 2008: 181-211 - 2007
- [c35]Huayue Wu, Peter van Beek:
On Universal Restart Strategies for Backtracking Search. CP 2007: 681-695 - [c34]Xiaoqing Zhu, Bernd Girod, Peter van Beek:
Distributed Channel Time Allocation and Rate Adaptation for Multi-User Video Streaming Over Wireless Home Networks. ICIP (5) 2007: 69-72 - [c33]Huayue Wu, Peter van Beek:
On Portfolios for Backtracking Search in the Presence of Deadlines. ICTAI (1) 2007: 231-238 - 2006
- [j16]Barry O'Sullivan
Introduction to the Special Issue on Principles and Practice of Constraint Programming (CP 2005). Constraints An Int. J. 11(2-3): 83-84 (2006) - [c32]Wei Li, Peter van Beek, Pascal Poupart:
Performing Incremental Bayesian Inference by Dynamic Model Counting. AAAI 2006: 1173-1179 - [c31]Mehmet Umut Demircin, Peter van Beek:
High Definition Video Transmission over Wlans with Time-Scale and R-D Optimized Rate Adaptation. ICIP 2006: 3073-3076 - [c30]Peter van Beek, Louis Kerofsky:
Server-Side Playout Delay Management for Video Streaming. ICIP 2006: 3077-3080 - [c29]Abid M. Malik, Jim McInnes, Peter van Beek:
Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraing Programming. ICTAI 2006: 279-287 - [e2]Francesca Rossi, Peter van Beek, Toby Walsh:
Handbook of Constraint Programming. Foundations of Artificial Intelligence 2, Elsevier 2006, ISBN 978-0-444-52726-4 [contents] - [r2]Francesca Rossi, Peter van Beek, Toby Walsh:
Introduction. Handbook of Constraint Programming 2006: 3-12 - [r1]Peter van Beek:
Backtracking Search Algorithms. Handbook of Constraint Programming 2006: 85-134 - 2005
- [j15]Claude-Guy Quimper
An Efficient Bounds Consistency Algorithm for the Global Cardinality Constraint. Constraints An Int. J. 10(2): 115-135 (2005) - [c28]Tyrel Russell, Abid M. Malik, Michael Chase, Peter van Beek:
Learning basic block scheduling heuristics from optimal data. CASCON 2005: 242-253 - [c27]Mark Kalman, Bernd Girod, Peter van Beek:
Optimized transcoding rate selection and packet scheduling for transmitting multiple video streams over a shared channel. ICIP (1) 2005: 165-168 - [c26]Peter van Beek, Mehmet Umut Demircin:
Delay- constrained rate adaptation for robust video transmission over home networks. ICIP (2) 2005: 173-176 - [c25]Mehmet Umut Demircin, Peter van Beek:
Bandwidth Estimation and Robust Video Streaming Over 802.11E Wireless Lans. ICME 2005: 1250-1253 - [e1]Peter van Beek:
Principles and Practice of Constraint Programming - CP 2005, 11th International Conference, CP 2005, Sitges, Spain, October 1-5, 2005, Proceedings. Lecture Notes in Computer Science 3709, Springer 2005, ISBN 3-540-29238-1 [contents] - 2004
- [j14]Peter van Beek, Toby Walsh:
Principles of Constraint Programming and Constraint Processing: A Review. AI Mag. 25(4): 105-106 (2004) - [c24]Lars Hellsten, Gilles Pesant, Peter van Beek:
A Domain Consistency Algorithm for the Stretch Constraint. CP 2004: 290-304 - [c23]Claude-Guy Quimper
Improved Algorithms for the Global Cardinality Constraint. CP 2004: 542-556 - [c22]Wei Li, Peter van Beek:
Guiding Real-World SAT Solving with Dynamic Hypergraph Separator Decomposition. ICTAI 2004: 542-548 - [c21]Peter van Beek, Sachin Deshpande, Hao Pan, M. Ibrahim Sezan:
Adaptive streaming of high-quality video over wireless LANs. VCIP 2004 - 2003
- [j13]Peter van Beek, John R. Smith, Touradj Ebrahimi
Metadata-driven multimedia access. IEEE Signal Process. Mag. 20(2): 40-52 (2003) - [c20]Claude-Guy Quimper
An Efficient Bounds Consistency Algorithm for the Global Cardinality Constraint. CP 2003: 600-614 - [c19]Huayue Wu, Peter van Beek:
Restart Strategies: Analysis and Simulation. CP 2003: 1001 - [c18]Alejandro López-Ortiz, Claude-Guy Quimper, John Tromp, Peter van Beek:
A Fast and Simple Algorithm for Bounds Consistency of the AllDifferent Constraint. IJCAI 2003: 245-250 - 2002
- [j12]Fahiem Bacchus, Xinguang Chen, Peter van Beek, Toby Walsh
Binary vs. non-binary constraints. Artif. Intell. 140(1/2): 1-37 (2002) - 2001
- [j11]Xinguang Chen, Peter van Beek:
Conflict-Directed Backjumping Revisited. J. Artif. Intell. Res. 14: 53-81 (2001) - [c17]Adam Beacham, Xinguang Chen, Jonathan Sillito, Peter van Beek:
Constraint Programming Lessons Learned from Crossword Puzzles. AI 2001: 78-87 - [c16]Michael E. Bergen, Peter van Beek, Tom Carchrae:
Constraint-Based Vehicle Assembly Line Sequencing. AI 2001: 88-99 - [c15]Peter van Beek, Kent D. Wilken:
Fast Optimal Instruction Scheduling for Single-Issue Processors with Arbitrary Latencies. CP 2001: 625-639 - [c14]Dean S. Messing, Peter van Beek, James H. Errico:
The MPEG-7 colour structure descriptor: image description using colour and local spatial information. ICIP (1) 2001: 670-673
1990 – 1999
- 1999
- [c13]Peter van Beek, Xinguang Chen:
CPlan: A Constraint Programming Approach to Planning. AAAI/IAAI 1999: 585-590 - [c12]Ailan Hu, Ioanis Nikolaidis, Peter van Beek:
On the Design of Efficient Video-on-Demand Broadcast Schedules. MASCOTS 1999: 262-269 - 1998
- [c11]Fahiem Bacchus, Peter van Beek:
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems. AAAI/IAAI 1998: 310-318 - [c10]Don Banks, Peter van Beek, Amnon Meisels:
A Heuristic Incremental Modeling Approach to Course Timetabling. Canadian AI 1998: 16-29 - 1997
- [j10]Grzegorz Kondrak, Peter van Beek:
A Theoretical Evaluation of Selected Backtracking Algorithms. Artif. Intell. 89(1-2): 365-387 (1997) - [j9]Peter van Beek, Rina Dechter:
Constraint tightness and looseness versus local and global consistency. J. ACM 44(4): 549-566 (1997) - [j8]Rina Dechter, Peter van Beek:
Local and Global Relational Consistency. Theor. Comput. Sci. 173(1): 283-308 (1997) - 1996
- [j7]Peter van Beek, Dennis W. Manchak:
The Design and Experimental Analysis of Algorithms for Temporal Reasoning. J. Artif. Intell. Res. 4: 1-18 (1996) - [i1]Peter van Beek, Dennis W. Manchak:
The Design and Experimental Analysis of Algorithms for Temporal Reasoning. CoRR cs.AI/9601101 (1996) - 1995
- [j6]Peter van Beek, Rina Dechter:
On the Minimality and Decomposability of Row-Convex Constraint Networks. J. ACM 42(3): 543-561 (1995) - [c9]Rina Dechter, Peter van Beek:
Local and Global Relational Consistency. CP 1995: 240-257 - [c8]Grzegorz Kondrak, Peter van Beek:
A Theoretical Evaluation of Selected Backtracking Algorithms. IJCAI 1995: 541-547 - 1994
- [c7]Peter van Beek:
On the Inherent Level of Local Consistency in Constraint Networks. AAAI 1994: 368-373 - [c6]Peter van Beek, Rina Dechter:
Constraint Tightness versus Global Consistency. KR 1994: 572-582 - 1993
- [j5]Peter van Beek, Robin Cohen, Ken Schmidt:
From Plan Critiquing to Clarification Dialogue for Cooperative ResponseGeneration. Comput. Intell. 9: 132-154 (1993) - 1992
- [j4]Peter van Beek:
Reasoning About Qualitative Temporal Information. Artif. Intell. 58(1-3): 297-326 (1992) - [c5]Peter van Beek:
On the Minimality and Decomposability of Constraint Networks. AAAI 1992: 447-452 - 1991
- [j3]Peter van Beek:
Temporal query processing with indefinite information. Artif. Intell. Medicine 3(6): 325-339 (1991) - [j2]Robin Cohen, Fei Song, Bruce Spencer, Peter van Beek:
Exploiting Temporal and Novel Information from the User in Plan Recognition. User Model. User Adapt. Interact. 1(3-4): 125-148 (1991) - [c4]Peter van Beek, Robin Cohen:
Resolving Plan Ambiguity for Cooperative Response Generation. IJCAI 1991: 938-944 - 1990
- [j1]Peter van Beek, Robin Cohen:
Exact and approximate reasoning about temporal relations. Comput. Intell. 6: 132-144 (1990) - [c3]Peter van Beek:
Reasoning about Qualitative Temporal Information. AAAI 1990: 728-734
1980 – 1989
- 1989
- [c2]Peter van Beek:
Approximation Algorithms for Temporal Reasoning. IJCAI 1989: 1291-1296 - 1987
- [c1]Peter van Beek:
A Model For Generating Better Explanations. ACL 1987: 215-220
Coauthor Index
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