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NN
2008
Springer
153views Neural Networks» more  NN 2008»
15 years 2 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner
FLAIRS
2007
15 years 4 months ago
Memory-Prediction Framework for Pattern Recognition: Performance and Suitability of the Bayesian Model of Visual Cortex
This paper explores an inferential system for recognizing visual patterns. The system is inspired by a recent memoryprediction theory and models the high-level architecture of the...
Saulius Juozas Garalevicius
JOCN
2010
117views more  JOCN 2010»
15 years 23 days ago
Early Top-Down Control of Visual Processing Predicts Working Memory Performance
■ Selective attention confers a behavioral benefit on both perceptual and working memory (WM) performance, often attributed to top–down modulation of sensory neural processing...
Aaron M. Rutman, Wesley C. Clapp, James Z. Chadick...
WAW
2010
Springer
306views Algorithms» more  WAW 2010»
15 years 5 days ago
Finding and Visualizing Graph Clusters Using PageRank Optimization
We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
Fan Chung Graham, Alexander Tsiatas
RTAS
1998
IEEE
15 years 6 months ago
Managing Memory Requirements in the Synthesis of Real-Time Systems from Processing Graphs
In the past, environmental restrictions on size, weight, and power consumption have severely limited both the processing and storage capacity of embedded signal processing systems...
Steve Goddard, Kevin Jeffay