Dana H. Ballard
Recent Work:
An Iconic Model of Visual Search
A Synchronous Firing Model of the LGN
Learning Spatiotemporal Receptive Fields from Natural Images
Local Receptive Fields for Transformation Estimation (What/Where Networks)
The Visual Cortex as a Hierarchical Predictor (Short Technical Report)
Kalman Filter Model of the Visual Cortex (Neural Computation, 1997)
Kalman Filter Models for Invariant Recognition, Motion, and Stereo (Technical Report)
Deictic Codes for the Embodiment of Cognition (Behav. and Brain Sciences (to appear))
Object-Centered Neglect (CNS 1996)
Modeling Human Eye Movements in Visual Search (NIPS*95)
Face Recognition using Natural Basis Functions (IJCAI*95)
An Active Vision Architecture based on Iconic Representations (AI Journal, 1995)
Learning Saccadic Eye Movements using Multiscale Spatial Filters (NIPS*94)
Environment:
Rochester Robotics and Vision Lab
U of Rochester CS Dept
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Department "Subway"
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dana@cs.rochester.edu
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