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Richard Granger
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- affiliation: University of California, Irvine, USA
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2020 – today
- 2023
- [j16]Richard Granger, David Leake
, Christopher K. Riesbeck:
In Memoriam: Roger C. Schank, 1946-2023. AI Mag. 44(3): 343-344 (2023) - 2021
- [c21]Joachim Lohn-Jaramillo, Khari Jarrett, Laura E. Ray, Richard Granger, Elijah F. W. Bowen:
Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments. ICPRAM 2021: 602-611 - 2020
- [i3]Richard Granger:
Toward the quantification of cognition. CoRR abs/2008.05580 (2020) - [i2]Elijah F. W. Bowen, Antonio Rodriguez, Damian Sowinski, Richard Granger:
Visual stream connectivity predicts assessments of image quality. CoRR abs/2008.06939 (2020) - [i1]Sarah Oh, Elijah F. W. Bowen, Antonio Rodriguez, Damian Sowinski, Eva Childers, Annemarie Brown, Laura E. Ray, Richard Granger:
Towards a perceptual distance metric for auditory stimuli. CoRR abs/2011.00088 (2020)
2010 – 2019
- 2019
- [c20]Khari Jarrett, Joachim Lohn-Jaramillo, Elijah F. W. Bowen, Laura E. Ray
Feedforward and Feedback Processing of Spatiotemporal Tubes for Efficient Object Localization. ICPRAM 2019: 377-387 - 2017
- [j15]Elijah F. W. Bowen, Brett B. Tofel, Sarah Parcak, Richard Granger:
Algorithmic Identification of Looted Archaeological Sites from Space. Frontiers ICT 4: 4 (2017) - [c19]Richard Granger, Elijah F. W. Bowen, Antonio Rodriguez, Laura E. Ray, Chris Kymn, Khari Jarrett:
Elemental Cognitive Acts, and Their Architecture. AAAI Fall Symposia 2017: 348-353 - 2016
- [j14]Antonio Rodriguez, Richard Granger
The grammar of mammalian brain capacity. Theor. Comput. Sci. 633: 100-111 (2016) - 2014
- [j13]Ashok Chandrashekar, Lorenzo Torresani, Richard Granger:
Learning what is where from unlabeled images: joint localization and clustering of foreground objects. Mach. Learn. 94(2): 261-279 (2014) - 2011
- [j12]Ashok Chandrashekar, Richard Granger:
Derivation of a Novel Efficient Supervised Learning Algorithm from Cortical-Subcortical Loops. Frontiers Comput. Neurosci. 5: 50 (2011) - [j11]Yune-Sang Lee
Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. NeuroImage 57(1): 293-300 (2011) - 2010
- [c18]Nimit Dhulekar, Andrew Felch, Richard Granger:
Tracking Moving Objects Improves Recognition. IPCV 2010: 798-803
2000 – 2009
- 2009
- [j10]Jayram Moorkanikara Nageswaran, Andrew Felch, Ashok Chandrasekhar, Nikil D. Dutt
Brain Derived Vision Algorithm on High Performance Architectures. Int. J. Parallel Program. 37(4): 345-369 (2009) - 2008
- [c17]Robert A. Hearn, Richard H. Granger:
Learning Hierarchical Representations and Behaviors. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence 2008: 65-66 - 2007
- [j9]Richard H. Granger, Robert A. Hearn:
Models of thalamocortical system. Scholarpedia 2(11): 1796 (2007) - [c16]Jeff Furlong, Andrew Felch, Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Alex Nicolau, Alexander V. Veidenbaum, Ashok Chandrashekar, Richard Granger:
Novel Brain-Derived Algorithms Scale Linearly with Number of Processing Elements. PARCO 2007: 767-776 - 2006
- [j8]Richard Granger:
Engines of the Brain: The Computational Instruction Set of Human Cognition. AI Mag. 27(2): 15-32 (2006) - [c15]Richard Granger:
Keynote talk. WWW 2006: 487 - 2004
- [c14]Richard Granger, Smiljana Petrovic, Andrew Felch, J. Kerr, M. Johnson, C. Wuerth, J. Benvenuto:
Engines of the Brain: The Computational "Instruction Set" of Perception and Cognition. AAAI Technical Report (1) 2004: 36-43 - 2001
- [j7]Ken Shimono, Makoto Taketani, Fernando Brücher, Don Kubota, Laura Colgin, Sam Robertson, Richard Granger, Gary Lynch:
Continuous two-dimensional current source density analyses of electrophysiological activity in hippocampal slices. Neurocomputing 38-40: 899-905 (2001)
1990 – 1999
- 1997
- [c13]Andreas Garzotto, Boris Aleksandrovsky, Gary Lynch, Richard Granger:
A neocortically-derived model of continuous contextual processing. ICNN 1997: 564-568 - [c12]Boris Aleksandrovsky, Fernando Brücher, Gary Lynch, Richard Granger:
Neural Network Model of Striatal Complex. IWANN 1997: 103-115 - 1996
- [c11]Boris Aleksandrovsky, James Whitson, Andreas Garzotto, Gary Lynch, Richard Granger:
An algorithm derived from thalamocortical circuitry stores and retrieves temporal sequences. ICPR 1996: 550-554 - [c10]Boris Aleksandrovsky, James Whitson, Gretchen Andes, Gary Lynch, Richard Granger:
Novel speech processing mechanism derived from auditory neocortical circuit analysis. ICSLP 1996: 558-561 - 1994
- [j6]Robert L. Coultrip, Richard H. Granger:
Sparse random networks with LTP learning rules approximate Bayes classifiers via Parzen's method. Neural Networks 7(3): 463-476 (1994) - 1992
- [j5]Robert L. Coultrip, Richard H. Granger, Gary Lynch:
A cortical model of winner-take-all competition via lateral inhibition. Neural Networks 5(1): 47-54 (1992) - 1991
- [j4]P. S. Antón, Gary Lynch, Richard Granger:
Computation of frequency-to-spatial transform by olfactory bulb glomeruli. Biol. Cybern. 65(5): 407-414 (1991)
1980 – 1989
- 1988
- [j3]Richard Granger, Jose A. Ambros-Ingerson, Gary Lynch:
Formal analysis of aggregate function of layer II cerebral cortex. Neural Networks 1(Supplement-1): 254 (1988) - 1987
- [c9]Richard Granger, Jose A. Ambros-Ingerson, Howard Henry, Gary Lynch:
Partitioning of Sensory Data by a Cortical Network. NIPS 1987: 317-337 - 1986
- [j2]Jeffrey C. Schlimmer, Richard H. Granger:
Incremental Learning from Noisy Data. Mach. Learn. 1(3): 317-354 (1986) - [c8]Jeffrey C. Schlimmer, Richard H. Granger:
Beyond Incremental Processing: Tracking Concept Drift. AAAI 1986: 502-507 - 1984
- [c7]Richard H. Granger, Kurt P. Eiselt, Jennifer K. Holbrook:
ATLAST: A Three-level Language Analysis System. GWAI 1984: 64-77 - 1983
- [j1]Richard H. Granger:
The NOMAD System: Expectation-Based Detection and Correction of Errors During Understanding of Syntactically and Semantically III-Formed Text. Am. J. Comput. Linguistics 9(3-4): 188-196 (1983) - [c6]Richard H. Granger, Kurt P. Eiselt, Jennifer K. Holbrook:
STRATEGIST: A Program That Models Strategy-Driven and Content-Driven Inference Behavior. AAAI 1983: 139-147 - [c5]Richard H. Granger, Chris J. Staros, Gregory S. Taylor, Rika Yoshii:
Scruffy Text Understanding: Design and Implementation of the NOMAD System. ANLP 1983: 104-106 - 1982
- [c4]Richard H. Granger:
Scruffy Text Understanding: Design and Implementation of 'Tolerant' Understanders. ACL 1982: 157-160 - 1981
- [c3]Richard H. Granger:
Directing And Re-Directing Inference Pursuit: Extra-Textual Influences on Text Interpretation. IJCAI 1981: 354-361 - 1980
- [c2]Richard H. Granger:
When Expectation Fails: Towards a Self-Correcting Inference System. AAAI 1980: 301-305
1970 – 1979
- 1977
- [c1]Richard H. Granger:
FOUL-UP: A Program that Figures Out Meanings of Words from Context. IJCAI 1977: 172-178
Coauthor Index
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