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ICIP
1999
IEEE
14 years 3 months ago
Edge Directed Prediction for Lossless Compression of Natural Images
This paper sheds light on the recent least-square (LS)-based adaptive prediction schemes for lossless compression of natural images. Our analysis shows that the superiority of the ...
Xin Li, Michael T. Orchard
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
14 years 3 months ago
Learning to Predict the Duration of an Automobile Trip
In this paper, weexplore the use of machinelearning and data mining to improvethe prediction of travel times in an automobile. Weconsider two formulations of this problem, one tha...
Simon Handley, Pat Langley, Folke A. Rauscher
FLAIRS
2008
14 years 1 months ago
The Introspective Robot: Using Self-Prediction to Improve Robot Learning
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
AAAI
1994
14 years 4 days ago
Prediction Sharing Across Time and Contexts
Sometimes inferences made at some specific time are valid at other times, too. In model-based diagnosis and monitoring as well as qualitative simulation inferences are often re-do...
Oskar Dressler, Hartmut Freitag
EAAI
2006
98views more  EAAI 2006»
13 years 10 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...