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ITRE
2005
IEEE
14 years 1 months ago
Adaptive content model for distance education
Ming Chih Lu, Lawrence Y. Deng, Hsi-Chien Yu, Yi-J...
ICPR
2006
IEEE
14 years 8 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 8 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
DAWAK
2000
Springer
13 years 12 months ago
COFE: A Scalable Method for Feature Extraction from Complex Objects
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
Gabriela Hristescu, Martin Farach-Colton
ICASSP
2010
IEEE
13 years 7 months ago
On distance reconstruction for sensor network localization
Sensor localization typically exploits distance measurements to infer sensor positions with respect to known anchor nodes. Missing or unreliable measurements for specific nodes c...
Phillip A. Regalia, Jing Wang