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2010 – 2019
- 2010
[j8]Jeffrey S. Whiting, Jonathan Dinerstein, Parris K. Egbert, Dan Ventura:
Cognitive and Behavioral Model Ensembles for Autonomous Virtual Characters. Comput. Intell. 26(2): 142-159 (2010)
2000 – 2009
- 2008
- [j7]Jonathan Dinerstein, Parris K. Egbert, Dan Ventura, Michael A. Goodrich
:
Demonstration-Based Behavior Programming for Embodied Virtual Agents. Comput. Intell. 24(4): 235-256 (2008) - [c9]Jonathan Dinerstein, Parris K. Egbert, Dan Ventura, Michael A. Goodrich:
Data-Driven Programming and Behavior for Autonomous Virtual Characters. AAAI 2008: 1450-1451 - 2007
- [j6]Jonathan Dinerstein, Parris K. Egbert, David Cline:
Enhancing computer graphics through machine learning: a survey. Vis. Comput. 23(1): 25-43 (2007) - [c8]Jonathan Dinerstein, Parris K. Egbert, Dan Ventura:
Learning Policies for Embodied Virtual Agents through Demonstration. IJCAI 2007: 1257-1262 - [c7]Sabra Dinerstein, Jonathan Dinerstein, Dan Ventura:
Robust multi-modal biometric fusion via multiple SVMs. SMC 2007: 1530-1535 - 2005
- [j5]Jonathan Dinerstein, Dan Ventura, Parris K. Egbert:
Fast and Robust Incremental Action Prediction for Interactive Agents. Comput. Intell. 21(1): 90-110 (2005) - [j4]Jonathan Dinerstein, Parris K. Egbert:
Fast multi-level adaptation for interactive autonomous characters. ACM Trans. Graph. 24(2): 262-288 (2005) - 2004
- [j3]Jonathan Dinerstein, Parris K. Egbert, Hugo de Garis, Nelson T. Dinerstein:
Fast and learnable behavioral and cognitive modeling for virtual character animation. Comput. Animat. Virtual Worlds 15(2): 95-108 (2004) - [j2]Kevin L. Steele, David Cline, Parris K. Egbert, Jonathan Dinerstein:
Modeling and rendering viscous liquids. Comput. Animat. Virtual Worlds 15(3-4): 183-192 (2004) - 2003
- [c6]Jonathan Dinerstein, Nelson T. Dinerstein, Hugo de Garis:
Automatic Multi-Module Neural Network Evolution in an Artificial Brain. Evolvable Hardware 2003: 283-286 - 2002
- [c5]Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram:
Reversible Evolvable Networks: A Reversible Evolvable Boolean Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. Evolvable Hardware 2002: 274-275 - [c4]Jonathan Dinerstein, Hugo de Garis:
"TiPo" - A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM. Evolvable Hardware 2002: 276-278 - [c3]Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram:
A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. GECCO Late Breaking Papers 2002: 83-90 - [c2]Jonathan Dinerstein, Hugo de Garis, Sabra Dinerstein, Nelson T. Dinerstein:
TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine. GECCO Late Breaking Papers 2002: 99-103 - [c1]Sabra Dinerstein, Jonathan Dinerstein, Hugo de Garis, Nelson T. Dinerstein:
A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks. GECCO Late Breaking Papers 2002: 104-108 - 2001
- [j1]Jonathan Dinerstein, Larre Egbert, Nick Flann:
Linear Grouping - A Method for Optimizing 3D Vertex Transformation and Clipping. J. Graphics, GPU, & Game Tools 6(1): 1-6 (2001)
Coauthor Index
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