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NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 6 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
CLUSTER
1999
IEEE
13 years 5 months ago
Simulative performance analysis of gossip failure detection for scalable distributed systems
Three protocols for gossip-based failure detection services in large-scale heterogeneous clusters are analyzed and compared. The basic gossip protocol provides a means by which fai...
Mark W. Burns, Alan D. George, Bradley A. Wallace
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 7 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
DAS
2008
Springer
13 years 8 months ago
Accurate Alignment of Double-Sided Manuscripts for Bleed-Through Removal
Double-sided manuscripts are often degraded by bleedthrough interference. Such degradation must be corrected to facilitate human perception and machine recognition. Most approache...
Jie Wang, Michael S. Brown, Chew Lim Tan
JNW
2008
177views more  JNW 2008»
13 years 6 months ago
Design and Evaluation of a Novel HIP-Based Network Mobility Protocol
The rapid growth of IP-based mobile telecommunication technologies in the past few years has revealed situations where not only a single node but an entire network moves and change...
Szabolcs Nováczki, László Bok...