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2006

Adaptive Multi-modal Sensors

10 years 6 months ago
Adaptive Multi-modal Sensors
Compressing real-time input through bandwidth constrained connections has been studied within robotics, wireless sensor networks, and image processing. When there are bandwidth constraints on realtime input the amount of information to be transferred will always be greater than the amount that can be transferred per unit of time. We propose a system that utilizes a local diffusion process and a reinforcement learning-based memory system to establish a real-time prediction of an entire input space based upon partial observation. The proposed system is optimized for dealing with multi-dimension input spaces, and maintains the ability to react to rare events. Results show the relation of loss to quality and suggest that at higher resolutions gains in quality are possible.
Kyle Ira Harrington, Hava T. Siegelmann
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where AI50
Authors Kyle Ira Harrington, Hava T. Siegelmann
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