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ESANN
2008
13 years 7 months ago
Using graph-theoretic measures to predict the performance of associative memory models
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
CVPR
2011
IEEE
12 years 9 months ago
An Associate-Predict Model for Face Recognition
Handling intra-personal variation is a major challenge in face recognition. It is difficult how to appropriately measure the similarity between human faces under significantly di...
Qi Yin, Jian Sun, Xiaoou Tang
IWANN
1999
Springer
13 years 9 months ago
The Capacity and Attractor Basins of Associative Memory Models
The performance characteristics of five variants of the Hopfield network are examined. Two performance metrics are used: memory capacity, and a measure of the size of basins of att...
Neil Davey, S. P. Hunt
ESEM
2008
ACM
13 years 7 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
APVIS
2006
13 years 7 months ago
Predicting graph reading performance: a cognitive approach
Performance and preference measures are commonly used in the assessment of visualization techniques. This is important and useful in understanding differences in effectiveness bet...
Weidong Huang, Seok-Hee Hong, Peter Eades