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IASSE
2004
13 years 11 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
VISUALIZATION
2003
IEEE
14 years 3 months ago
Accelerating Large Data Analysis by Exploiting Regularities
We present techniques for discovering and exploiting regularity in large curvilinear data sets. The data can be based on a single mesh or a mesh composed of multiple submeshes (al...
David Ellsworth, Patrick J. Moran
UAI
2004
13 years 11 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
ICRA
2000
IEEE
136views Robotics» more  ICRA 2000»
14 years 2 months ago
Registration of Range Data Using a Hybrid Simulated Annealing and Iterative Closest Point Algorithm
The need to register data is abundant in applications such as: world modeling, part inspection and manufacturing, object recognition, pose estimation, robotic navigation, and reve...
Jason P. Luck, Charles Q. Little, William Hoff
CIKM
2005
Springer
14 years 3 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...