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PAMI
2006
127views more  PAMI 2006»
15 years 4 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
CAD
2000
Springer
15 years 4 months ago
Lessons learned developing protocols for the industrial virtual enterprise
The protocols selected and developed by the NIIIP Consortium have been validated in three end-of-cycle demonstrations. In each cycle, a team with expertise in technical product da...
Martin Hardwick, K. C. Morris, David L. Spooner, T...
IROS
2006
IEEE
159views Robotics» more  IROS 2006»
15 years 11 months ago
Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing
— To operate outdoors or on non-flat surfaces, mobile robots need appropriate data structures that provide a compact representation of the environment and at the same time suppo...
Rudolph Triebel, Patrick Pfaff, Wolfram Burgard
CONTEXT
2007
Springer
15 years 11 months ago
The Difference a Day Makes - Recognizing Important Events in Daily Context Logs
Abstract. We study the extension of context ontologies towards enhanced qualitative spatio-temporal representations and reasoning. Our goal is to model and extract events that are ...
Michael Wessel, Marko Luther, Matthias Wagner
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 11 months ago
Dimension Reduction for Supervised Ordering
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
Toshihiro Kamishima, Shotaro Akaho