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» Learning Features by Contrasting Natural Images with Noise
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ICCV
1995
IEEE
13 years 9 months ago
Object Indexing Using an Iconic Sparse Distributed Memory
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Rajesh P. N. Rao, Dana H. Ballard
NECO
2008
114views more  NECO 2008»
13 years 6 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
BMVC
2010
13 years 4 months ago
Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
Martin Heracles, Fernando Martinelli, Jannik Frits...
DAGM
2003
Springer
13 years 11 months ago
A Computational Model of Early Auditory-Visual Integration
We introduce a computational model of sensor fusion based on the topographic representations of a ”two-microphone and one camera” configuration. Our aim is to perform a robust...
Carsten Schauer, Horst-Michael Gross
HRI
2006
ACM
14 years 6 days ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...