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ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
13 years 11 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
AROBOTS
2002
131views more  AROBOTS 2002»
13 years 5 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 5 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
INFOCOM
2011
IEEE
12 years 9 months ago
Describing and forecasting video access patterns
Abstract—Computer systems are increasingly driven by workloads that reflect large-scale social behavior, such as rapid changes in the popularity of media items like videos. Capa...
Gonca Gürsun, Mark Crovella, Ibrahim Matta
DAS
2008
Springer
13 years 7 months ago
Towards Whole-Book Recognition
We describe experimental results for unsupervised recognition of the textual contents of book-images using fully automatic mutual-entropy-based model adaptation. Each experiment s...
Pingping Xiu, Henry S. Baird