 | 2008 |
|---|
| 13 |       | Jonathan Dinerstein,
Parris K. Egbert,
Dan Ventura,
Michael A. Goodrich:
Data-Driven Programming and Behavior for Autonomous Virtual Characters.
AAAI 2008: 1450-1451 |
| 2007 |
|---|
| 12 |  | Jonathan Dinerstein,
Parris K. Egbert,
Dan Ventura:
Learning Policies for Embodied Virtual Agents through Demonstration.
IJCAI 2007: 1257-1262 |
| 11 | | Sabra Dinerstein,
Jonathan Dinerstein,
Dan Ventura:
Robust multi-modal biometric fusion via multiple SVMs.
SMC 2007: 1530-1535 |
| 10 | | Jonathan Dinerstein,
Parris K. Egbert,
David Cline:
Enhancing computer graphics through machine learning: a survey.
The Visual Computer 23(1): 25-43 (2007) |
| 2005 |
|---|
| 9 | | Jonathan Dinerstein,
Parris K. Egbert:
Fast multi-level adaptation for interactive autonomous characters.
ACM Trans. Graph. 24(2): 262-288 (2005) |
| 2004 |
|---|
| 8 | | Jonathan Dinerstein,
Parris K. Egbert,
Hugo de Garis,
Nelson Dinerstein:
Fast and learnable behavioral and cognitive modeling for virtual character animation.
Journal of Visualization and Computer Animation 15(2): 95-108 (2004) |
| 7 | | Kevin L. Steele,
David Cline,
Parris K. Egbert,
Jonathan Dinerstein:
Modeling and rendering viscous liquids.
Journal of Visualization and Computer Animation 15(3-4): 183-192 (2004) |
| 2003 |
|---|
| 6 | | Jonathan Dinerstein,
Nelson Dinerstein,
Hugo de Garis:
Automatic Multi-Module Neural Network Evolution in an Artificial Brain.
Evolvable Hardware 2003: 283-286 |
| 2002 |
|---|
| 5 | | 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 |
| 4 | | 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 |
| 3 | | Sabra Dinerstein,
Jonathan Dinerstein,
Hugo de Garis,
Nelson Dinerstein:
A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks.
GECCO Late Breaking Papers 2002: 104-108 |
| 2 | | 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 |
| 1 | | Jonathan Dinerstein,
Hugo de Garis,
Sabra Dinerstein,
Nelson Dinerstein:
TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine.
GECCO Late Breaking Papers 2002: 99-103 |
