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ICASSP
2011
IEEE
13 years 1 months ago
Similarity learning for semi-supervised multi-class boosting
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
Q. Y. Wang, Pong Chi Yuen, Guo-Can Feng
JODS
2008
424views Data Mining» more  JODS 2008»
13 years 10 months ago
Semantically Processing Parallel Colour Descriptions
Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural lan...
Shenghui Wang, Jeff Z. Pan
SSD
2007
Springer
176views Database» more  SSD 2007»
14 years 4 months ago
Distributed, Concurrent Range Monitoring of Spatial-Network Constrained Mobile Objects
The ability to continuously monitor the positions of mobile objects is important in many applications. While most past work has been set in Euclidean spaces, the mobile objects rel...
Hua Lu, Zhiyong Huang, Christian S. Jensen, Linhao...
IDA
2003
Springer
14 years 3 months ago
Similarity-Based Neural Networks for Applications in Computational Molecular Biology
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Igor Fischer
ADBIS
2006
Springer
181views Database» more  ADBIS 2006»
14 years 3 months ago
Searching for Similar Trajectories on Road Networks Using Spatio-temporal Similarity
In order to search similar moving object trajectories, the previously used methods focused on Euclidean distance and considered only spatial similarity. Euclidean distance is not a...
Jung-Rae Hwang, Hye-Young Kang, Ki-Joune Li