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» Practical Riemannian Neural Networks
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ICANN
1997
Springer
14 years 1 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer
NETWORKING
2010
13 years 11 months ago
Synapse: A Scalable Protocol for Interconnecting Heterogeneous Overlay Networks
This paper presents Synapse, a scalable protocol for information retrieval over the inter-connection of heterogeneous overlay networks. Applications on top of Synapse see those int...
Luigi Liquori, Cédric Tedeschi, Laurent Van...
TVLSI
1998
88views more  TVLSI 1998»
13 years 9 months ago
Time multiplexed color image processing based on a CNN with cell-state outputs
—A practical system approach for time-multiplexing cellular neural network (CNN) implementations suitable for processing large and complex images using small CNN arrays is presen...
Lei Wang, José Pineda de Gyvez, Edgar S&aac...
KES
2006
Springer
13 years 9 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
IWANN
2005
Springer
14 years 3 months ago
A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
The Shortest Common Supersequence problem is a hard combinatorial optimization problem with numerous practical applications. Several evolutionary approaches are proposed for this p...
Carlos Cotta