Andrew W. Moore

Scott Davies, Andrew W. Moore: Interpolating Conditional Density Trees. CoRR abs/1301.0563 (2013)

Andrew W. Moore, Jeff G. Schneider: Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes. CoRR abs/1301.0589 (2013)

Scott Davies, Andrew W. Moore: Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables. CoRR abs/1301.3852 (2013)

Andrew W. Moore: The Anchors Hierachy: Using the triangle inequality to survive high dimensional data. CoRR abs/1301.3877 (2013)

Richard G. Clegg, Mark S. Withall, Andrew W. Moore, Iain W. Phillips, David J. Parish, Miguel Rio, Raul Landa, Hamed Haddadi, Konstantinos G. Kyriakopoulos, J. Auge, R. Clayton, D. Salmon: Challenges in the capture and dissemination of measurements from high-speed networks. CoRR abs/1303.6908 (2013)

Richard Mortier, Tom Rodden, Tom Lodge, Derek McAuley, Charalampos Rotsos, Andrew W. Moore, Alexandros Koliousis, Joe Sventek: Control and understanding: Owning your home network. COMSNETS 2012: 1-10

Charalampos Rotsos, Richard Mortier, Anil Madhavapeddy, Balraj Singh, Andrew W. Moore: Cost, performance & flexibility in OpenFlow: Pick three. ICC 2012: 6601-6605

Gianni Antichi, Stefano Giordano, David J. Miller, Andrew W. Moore: Enabling open-source high speed network monitoring on NetFPGA. NOMS 2012: 1029-1035

Charalampos Rotsos, Nadi Sarrar, Steve Uhlig, Rob Sherwood, Andrew W. Moore: OFLOPS: An Open Framework for OpenFlow Switch Evaluation. PAM 2012: 85-95

Amir Chaudhry, Anil Madhavapeddy, Charalampos Rotsos, Richard Mortier, Andrius Aucinas, Jon Crowcroft, Sebastian Probst Eide, Steven Hand, Andrew W. Moore, Narseo Vallina-Rodriguez: Signposts: end-to-end networking in a world of middleboxes. SIGCOMM 2012: 83-84

Tilman Wolf, Andrew W. Moore, Viktor K. Prasanna (Eds.): Symposium on Architecture for Networking and Communications Systems, ANCS '12, Austin, TX, USA - October 29 - 30, 2012. ACM 2012, isbn 978-1-4503-1685-9

Purnamrita Sarkar, Andrew W. Moore: A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs. CoRR abs/1206.5259 (2012)

Damien Fay, Hamed Haddadi, Steve Uhlig, Liam Kilmartin, Andrew W. Moore, Jérôme Kunegis, Marios Iliofotou: Discriminating graphs through spectral projections. Computer Networks 55(15): 3458-3468 (2011)

Purnamrita Sarkar, Andrew W. Moore: Random Walks in Social Networks and their Applications: A Survey. Social Network Data Analytics 2011: 43-77

Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore: Theoretical Justification of Popular Link Prediction Heuristics. IJCAI 2011: 2722-2727

Richard Mortier, Ben Bedwell, Kevin Glover, Tom Lodge, Tom Rodden, Charalampos Rotsos, Andrew W. Moore, Alexandros Koliousis, Joseph S. Sventek: Supporting novel home network management interfaces with openflow and NOX. SIGCOMM 2011: 464-465

Dongryeol Lee, Alexander G. Gray, Andrew W. Moore: Dual-Tree Fast Gauss Transforms. CoRR abs/1102.2878 (2011)

Ying Zhang, Damien Fay, Liam Kilmartin, Andrew W. Moore: A Garch-based adaptive playout delay algorithm for VoIP. Computer Networks 54(17): 3108-3122 (2010)

Artur Dubrawski, Johan Östlund, Lujie Chen, Andrew W. Moore: Computationally efficient scoring of activity using demographics and connectivity of entities. Information Technology and Management 11(2): 77-89 (2010)

Damien Fay, Hamed Haddadi, Andrew Thomason, Andrew W. Moore, Richard Mortier, Almerima Jamakovic, Steve Uhlig, Miguel Rio: Weighted spectral distribution for internet topology analysis: theory and applications. IEEE/ACM Trans. Netw. 18(1): 164-176 (2010)

Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore: Theoretical Justification of Popular Link Prediction Heuristics. COLT 2010: 295-307

Charalampos Rotsos, Jurgen Van Gael, Andrew W. Moore, Zoubin Ghahramani: Probabilistic graphical models for semi-supervised traffic classification. IWCMC 2010: 752-757

Purnamrita Sarkar, Andrew W. Moore: Fast nearest-neighbor search in disk-resident graphs. KDD 2010: 513-522

Ripduman Sohan, Andrew Rice, Andrew W. Moore, Kieran Mansley: Characterizing 10 Gbps network interface energy consumption. LCN 2010: 268-271

Sherif Akoush, Ripduman Sohan, Andrew Rice, Andrew W. Moore, Andy Hopper: Predicting the Performance of Virtual Machine Migration. MASCOTS 2010: 37-46

Hamed Haddadi, Damien Fay, Steve Uhlig, Andrew W. Moore, Richard Mortier, Almerima Jamakovic: Mixing Biases: Structural Changes in the AS Topology Evolution. TMA 2010: 32-45

Wei Li, Marco Canini, Andrew W. Moore, Raffaele Bolla: Efficient application identification and the temporal and spatial stability of classification schema. Computer Networks 53(6): 790-809 (2009)

Damien Fay, Hamed Haddadi, Andrew W. Moore, Richard Mortier, Steve Uhlig, Almerima Jamakovic: A weighted spectrum metric for comparison of internet topologies. SIGMETRICS Performance Evaluation Review 37(3): 67-72 (2009)

David J. Miller, Philip M. Watts, Andrew W. Moore: Motivating future interconnects: a differential measurement analysis of PCI latency. ANCS 2009: 94-103

Marco Canini, Wei Li, Martin Zádník, Andrew W. Moore: Experience with high-speed automated application-identification for network-management. ANCS 2009: 209-218

Martin Zádník, Marco Canini, Andrew W. Moore, David J. Miller, Wei Li: Tracking elephant flows in internet backbone traffic with an FPGA-based cache. FPL 2009: 640-644

Marco Canini, Wei Li, Andrew W. Moore, Raffaele Bolla: GTVS: Boosting the Collection of Application Traffic Ground Truth. TMA 2009: 54-63

Hamed Haddadi, Damien Fay, Almerima Jamakovic, Olaf Maennel, Andrew W. Moore, Richard Mortier, Steve Uhlig: On the importance of local connectivity for Internet topology models. International Teletraffic Congress 2009: 1-8

Purnamrita Sarkar, Andrew W. Moore: Fast dynamic reranking in large graphs. WWW 2009: 31-40

Hamed Haddadi, Steve Uhlig, Andrew W. Moore, Richard Mortier, Miguel Rio: Modeling internet topology dynamics. Computer Communication Review 38(2): 65-68 (2008)

Tim Strayer, Mark Allman, Grenville J. Armitage, Steve Bellovin, Shudong Jin, Andrew W. Moore: IMRG workshop on application classification and identification report. Computer Communication Review 38(3): 87-90 (2008)

Hamed Haddadi, Miguel Rio, Gianluca Iannaccone, Andrew W. Moore, Richard Mortier: Network topologies: Inference, modeling, and generation. IEEE Communications Surveys and Tutorials 10(1-4): 48-69 (2008)

Purnamrita Sarkar, Andrew W. Moore, Amit Prakash: Fast incremental proximity search in large graphs. ICML 2008: 896-903

Hamed Haddadi, Damien Fay, Steve Uhlig, Andrew W. Moore, Richard Mortier, Almerima Jamakovic, Miguel Rio: Tuning Topology Generators Using Spectral Distributions. SIPEW 2008: 154-173

Hamed Haddadi, Damien Fay, Almerima Jamakovic, Olaf Maennel, Andrew W. Moore, Richard Mortier, Miguel Rio, Steve Uhlig: Beyond Node Degree: Evaluating AS Topology Models. CoRR abs/0807.2023 (2008)

Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore: Fast State Discovery for HMM Model Selection and Learning. Journal of Machine Learning Research - Proceedings Track 2: 492-499 (2007)

Tom Auld, Andrew W. Moore, Stephen F. Gull: Bayesian Neural Networks for Internet Traffic Classification. IEEE Transactions on Neural Networks 18(1): 223-239 (2007)

Wei Li, Andrew W. Moore: A Machine Learning Approach for Efficient Traffic Classification. MASCOTS 2007: 310-317

Purnamrita Sarkar, Andrew W. Moore: A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs. UAI 2007: 335-343

Ting Liu, Andrew W. Moore, Alexander G. Gray: New Algorithms for Efficient High-Dimensional Nonparametric Classification. Journal of Machine Learning Research 7: 1135-1158 (2006)

Dan Pelleg, Andrew W. Moore: Dependency trees in sub-linear time and bounded memory. VLDB J. 15(3): 250-262 (2006)

Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani: Monitoring Food Safety by Detecting Patterns in Consumer Complaints. AAAI 2006: 1782-1788

Wei Li, Andrew W. Moore: Learning for accurate classification of real-time traffic. CoNEXT 2006: 36

Awais Ahmed Awan, Andrew W. Moore: Synergy: blending heterogeneous measurement elements for effective network monitoring. CoNEXT 2006: 41

Josep Roure, Andrew W. Moore: Sequential update of ADtrees. ICML 2006: 769-776

Khalid El-Arini, Andrew W. Moore, Ting Liu: Autonomous Visualization. PKDD 2006: 495-502

David L. Buckeridge, Howard Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore: Algorithms for rapid outbreak detection: a research synthesis. Journal of Biomedical Informatics 38(2): 99-113 (2005)

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. Journal of Machine Learning Research 6: 1961-1998 (2005)

Purnamrita Sarkar, Andrew W. Moore: Dynamic social network analysis using latent space models. SIGKDD Explorations 7(2): 31-40 (2005)

Paul Komarek, Andrew W. Moore: Making Logistic Regression a Core Data Mining Tool with TR-IRLS. ICDM 2005: 685-688

Sajid M. Siddiqi, Andrew W. Moore: Fast inference and learning in large-state-space HMMs. ICML 2005: 800-807

Jeremy Kubica, Andrew W. Moore, Andrew Connolly, Robert Jedicke: A multiple tree algorithm for the efficient association of asteroid observations. KDD 2005: 138-146

Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel: Detection of emerging space-time clusters. KDD 2005: 218-227

Brigham Anderson, Andrew W. Moore: Fast Information Value for Graphical Models. NIPS 2005

Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew Connolly: Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery. NIPS 2005

Dongryeol Lee, Alexander G. Gray, Andrew W. Moore: Dual-Tree Fast Gauss Transforms. NIPS 2005

Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper: A Bayesian Spatial Scan Statistic. NIPS 2005

Purnamrita Sarkar, Andrew W. Moore: Dynamic Social Network Analysis using Latent Space Models. NIPS 2005

Andrew W. Moore, Konstantina Papagiannaki: Toward the Accurate Identification of Network Applications. PAM 2005: 41-54

Denis Zuev, Andrew W. Moore: Traffic Classification Using a Statistical Approach. PAM 2005: 321-324

Andrew W. Moore, Denis Zuev: Internet traffic classification using bayesian analysis techniques. SIGMETRICS 2005: 50-60

Andrew W. Moore: An implementation-based comparison of Measurement-Based Admission Control algorithms. J. High Speed Networks 13(2): 87-102 (2004)

Brigham Anderson, Andrew W. Moore, Andrew Connolly, Robert Nichol: Fast nonlinear regression via eigenimages applied to galactic morphology. KDD 2004: 40-48

Daniel B. Neill, Andrew W. Moore: Rapid detection of significant spatial clusters. KDD 2004: 256-265

Kaustav Das, Andrew W. Moore, Jeff G. Schneider: Belief state approaches to signaling alarms in surveillance systems. KDD 2004: 539-544

Ting Liu, Ke Yang, Andrew W. Moore: The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data. KDD 2004: 629-634

Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang: An Investigation of Practical Approximate Nearest Neighbor Algorithms. NIPS 2004

Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell: Detecting Significant Multidimensional Spatial Clusters. NIPS 2004

Dan Pelleg, Andrew W. Moore: Active Learning for Anomaly and Rare-Category Detection. NIPS 2004

Per H. Gesteland, Reed M. Gardner, Fu-Chiang Tsui, Jeremy U. Espino, Robert T. Rolfs, Brent C. James, Wendy Webber Chapman, Andrew W. Moore, Michael M. Wagner: Application of Information Technology: Automated Syndromic Surveillance for the 2002 Winter Olympics. JAMIA 10(6): 547-554 (2003)

Jeremy Kubica, Andrew W. Moore: Probabilistic Noise Identification and Data Cleaning. ICDM 2003: 131-138

Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider: Tractable Group Detection on Large Link Data Sets. ICDM 2003: 573-576

Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider: Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. ICML 2003: 392-399

Andrew W. Moore, Weng-Keen Wong: Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. ICML 2003: 552-559

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML 2003: 808-815

Ting Liu, Andrew W. Moore, Alexander G. Gray: Efficient Exact k-NN and Nonparametric Classification in High Dimensions. NIPS 2003

Daniel B. Neill, Andrew W. Moore: A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters. NIPS 2003

Alexander G. Gray, Andrew W. Moore: Nonparametric Density Estimation: Toward Computational Tractability. SDM 2003

Malcolm J. A. Strens, Andrew W. Moore: Policy Search using Paired Comparisons. Journal of Machine Learning Research 3: 921-950 (2002)

Rémi Munos, Andrew W. Moore: Variable Resolution Discretization in Optimal Control. Machine Learning 49(2-3): 291-323 (2002)

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI 2002: 217-223

Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang: Stochastic Link and Group Detection. AAAI/IAAI 2002: 798-806

Amitabh Chaudhary, Alexander S. Szalay, Andrew W. Moore: Very Fast Outlier Detection in Large Multidimensional Data Sets. DMKD 2002

Dan Pelleg, Andrew W. Moore: Using Tarjan's Red Rule for Fast Dependency Tree Construction. NIPS 2002: 801-808

Scott Davies, Andrew W. Moore: Interpolating Conditional Density Trees. UAI 2002: 119-127

Andrew W. Moore, Jeff G. Schneider: Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes. UAI 2002: 360-369

Dan Pelleg, Andrew W. Moore: Mixtures of Rectangles: Interpretable Soft Clustering. ICML 2001: 401-408

Peter Sand, Andrew W. Moore: Repairing Faulty Mixture Models using Density Estimation. ICML 2001: 457-464

Malcolm J. A. Strens, Andrew W. Moore: Direct Policy Search using Paired Statistical Tests. ICML 2001: 545-552

Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew W. Moore, Jeff G. Schneider, Takeo Kanade: Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures. MICCAI 2001: 655-665

Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions to Improve Optimization by Local Search. Journal of Machine Learning Research 1: 77-112 (2000)

Martin A. Riedmiller, Andrew W. Moore, Jeff G. Schneider: Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. Balancing Reactivity and Social Deliberation in Multi-Agent Systems 2000: 137-149

Brigham S. Anderson, Andrew W. Moore, David Cohn: A Nonparametric Approach to Noisy and Costly Optimization. ICML 2000: 17-24

Paul Komarek, Andrew W. Moore: A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets. ICML 2000: 495-502

Rémi Munos, Andrew W. Moore: Rates of Convergence for Variable Resolution Schemes in Optimal Control. ICML 2000: 647-654

Dan Pelleg, Andrew W. Moore: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. ICML 2000: 727-734

Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICRA 2000: 4096-

Alexander G. Gray, Andrew W. Moore: `N-Body' Problems in Statistical Learning. NIPS 2000: 521-527

Scott Davies, Andrew W. Moore: Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables. UAI 2000: 168-175

Andrew W. Moore: The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data. UAI 2000: 397-405

Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller: Distributed Value Functions. ICML 1999: 371-378

Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling: Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. IJCAI 1999: 1316-1323

Rémi Munos, Andrew W. Moore: Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems. IJCAI 1999: 1348-1355

Dan Pelleg, Andrew W. Moore: Accelerating Exact k-means Algorithms with Geometric Reasoning. KDD 1999: 277-281

Scott Davies, Andrew W. Moore: Bayesian Networks for Lossless Dataset Compression. KDD 1999: 387-391

Andrew W. Moore, Mary S. Lee: Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets. J. Artif. Intell. Res. (JAIR) 8: 67-91 (1998)

Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. AAAI/IAAI 1998: 3-10

Scott Davies, Andrew Y. Ng, Andrew W. Moore: Applying Online Search Techniques to Continuous-State Reinforcement Learning. AAAI/IAAI 1998: 753-760

Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICML 1998: 386-394

Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore: Value Function Based Production Scheduling. ICML 1998: 522-530

Brigham S. Anderson, Andrew W. Moore: ADtrees for Fast Counting and for Fast Learning of Association Rules. KDD 1998: 134-138

Andrew W. Moore: Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees. NIPS 1998: 543-549

Leemon C. Baird III, Andrew W. Moore: Gradient Descent for General Reinforcement Learning. NIPS 1998: 968-974

Rémi Munos, Andrew W. Moore: Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. NIPS 1998: 1024-1030

Andrew W. Moore, Mary S. Lee: Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets. CoRR cs.AI/9803102 (1998)

Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal: Locally Weighted Learning. Artif. Intell. Rev. 11(1-5): 11-73 (1997)

Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal: Locally Weighted Learning for Control. Artif. Intell. Rev. 11(1-5): 75-113 (1997)

Oded Maron, Andrew W. Moore: The Racing Algorithm: Model Selection for Lazy Learners. Artif. Intell. Rev. 11(1-5): 193-225 (1997)

Andrew W. Moore, Jeff G. Schneider, Kan Deng: Efficient Locally Weighted Polynomial Regression Predictions. ICML 1997: 236-244

Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey. J. Artif. Intell. Res. (JAIR) 4: 237-285 (1996)

Andrew W. Moore, A. J. McGregor, Jim W. Breen: A Comparison of System Monitoring Methods, Passive Network Monitoring and Kernel Instrumentation. Operating Systems Review 30(1): 16-38 (1996)

Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions for Large Acyclic Domains. ICML 1996: 63-70

Andrew W. Moore: Reinforcement Learning in Factories: The Auton Project (Abstract). ICML 1996: 556

Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey. CoRR cs.AI/9605103 (1996)

Andrew W. Moore, Christopher G. Atkeson: The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces. Machine Learning 21(3): 199-233 (1995)

Kan Deng, Andrew W. Moore: Multiresolution Instance-Based Learning. IJCAI 1995: 1233-1242

Andrew W. Moore, Jeff G. Schneider: Memory-based Stochastic Optimization. NIPS 1995: 1066-1072

Andrew W. Moore, Mary S. Lee: Efficient Algorithms for Minimizing Cross Validation Error. ICML 1994: 190-198

Justin A. Boyan, Andrew W. Moore: Generalization in Reinforcement Learning: Safely Approximating the Value Function. NIPS 1994: 369-376

Andrew W. Moore, Christopher G. Atkeson: Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time. Machine Learning 13: 103-130 (1993)

Oded Maron, Andrew W. Moore: Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation. NIPS 1993: 59-66

Andrew W. Moore: The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces. NIPS 1993: 711-718

Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore: Memory-Based Methods for Regression and Classification. NIPS 1993: 1165-1166

Andrew W. Moore, Christopher G. Atkeson: Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. NIPS 1992: 263-270

Andrew W. Moore: Variable Resolution Dynamic Programming. ML 1991: 333-337

Andrew W. Moore: Fast, Robust Adaptive Control by Learning only Forward Models. NIPS 1991: 571-578

Andrew W. Moore: Acquisition of Dynamic Control Knowledge for a Robotic Manipulator. ML 1990: 244-252

Andrew W. Moore, John Allman, Geoffrey Fox, Rodney M. Goodman: A VLSI Neural Network for Color Constancy. NIPS 1990: 370-376