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» Visualization of Uncertainty and Reasoning
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NIPS
2004
13 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
WSCG
2004
151views more  WSCG 2004»
13 years 8 months ago
Inserting G1 Discontinuities into Free-form Features for Aesthetic Design
Free form shapes are often used to fulfil both aesthetic and design constraints applied to parametric models currently adopted in CAD environments. Up to now, designers and engine...
Vincent Cheutet, Jean-Philippe Pernot, Jean-Claude...
ATAL
2010
Springer
13 years 7 months ago
Inter-robot transfer learning for perceptual classification
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Zsolt Kira
MM
2010
ACM
177views Multimedia» more  MM 2010»
13 years 7 months ago
Image tag refinement towards low-rank, content-tag prior and error sparsity
The vast user-provided image tags on the popular photo sharing websites may greatly facilitate image retrieval and management. However, these tags are often imprecise and/or incom...
Guangyu Zhu, Shuicheng Yan, Yi Ma
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 7 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone