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» Structured metric learning for high dimensional problems
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ICDE
1996
IEEE
228views Database» more  ICDE 1996»
14 years 9 months ago
Similarity Indexing with the SS-tree
Eficient indezing of high dimensional feature vectors is important to allow visual information systems and a number other applications to scale up to large databases. In this pape...
David A. White, Ramesh Jain
CVIU
2008
120views more  CVIU 2008»
13 years 7 months ago
Trajectory fusion for three-dimensional volume reconstruction
We address the 3D volume reconstruction problem from depth adjacent sub-volumes acquired by a confocal laser scanning microscope (CLSM). Our goal is to align the sub-volumes by es...
Sang-Chul Lee, Peter Bajcsy
SBRN
2008
IEEE
14 years 2 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
CIBCB
2006
IEEE
14 years 1 months ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
ISSRE
2005
IEEE
14 years 1 months ago
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
Fei Xing, Ping Guo, Michael R. Lyu