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116
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CIKM
2003
Springer
15 years 8 months ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
136
Voted

Publication
344views
14 years 1 months ago
Top-k Similarity Join over Multi-valued Objects
The top-k similarity joins have been extensively studied and used in a wide spectrum of applications such as information retrieval, decision making, spatial data analysis and dat...
Wenjie Zhang, Jing Xu, Xin Liang, Ying Zhang, Xuem...
112
Voted
ICPR
2002
IEEE
16 years 4 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
143
Voted
ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
15 years 1 months ago
A vector-based, multidimensional scanpath similarity measure
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
137
Voted
ICRA
2009
IEEE
131views Robotics» more  ICRA 2009»
15 years 1 months ago
Efficient C-space and cost function updates in 3D for unmanned aerial vehicles
When operating in partially-known environments, autonomous vehicles must constantly update their maps and plans based on new sensor information. Much focus has been placed on devel...
Sebastian Scherer, Dave Ferguson, Sanjiv Singh