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» Structured metric learning for high dimensional problems
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ICDE
1996
IEEE
228views Database» more  ICDE 1996»
16 years 1 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»
14 years 12 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
15 years 6 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
15 years 6 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
15 years 5 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