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» On the Use of Evidence in Neural Networks
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ISNN
2007
Springer
16 years 22 days ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
GCC
2007
Springer
16 years 22 days ago
Telemeter: Network Distance Prediction Base on Network Topology
Coordinates-based distance prediction algorithms can improve the performance of many Internet applications, especially in the peer-to-peer architecture and overlay construction. B...
Lin Cong, Yang Chen, Xiaohui Shi, Ye Wang, Weiyu W...
CVIU
2004
125views more  CVIU 2004»
15 years 6 months ago
Automatic description of complex buildings from multiple images
We present an approach for detecting and describing complex buildings with flat or complex rooftops by using multiple, overlapping images of the scene. We find 3-D rooftop boundar...
Zu Whan Kim, Ramakant Nevatia
KDD
2009
ACM
146views Data Mining» more  KDD 2009»
16 years 1 months ago
Mining in a mobile environment
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
Sean McRoskey, James Notwell, Nitesh V. Chawla, Ch...
AAAI
2006
15 years 8 months ago
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Jinbo Huang, Mark Chavira, Adnan Darwiche