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PERVASIVE
2008
Springer
13 years 8 months ago
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing
Abstract. People-centric sensor-based applications targeting mobile device users offer enormous potential. However, learning inference models in this setting is hampered by the lac...
Nicholas D. Lane, Hong Lu, Shane B. Eisenman, Andr...
PRL
2006
139views more  PRL 2006»
13 years 8 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
IJCV
2000
136views more  IJCV 2000»
13 years 8 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
SCHEDULING
2008
152views more  SCHEDULING 2008»
13 years 8 months ago
Bicriteria robotic cell scheduling
This paper considers the scheduling problems arising in two- and three-machine manufacturing cells configured in a flowshop which repeatedly produces one type of product and where ...
Hakan Gultekin, M. Selim Akturk, Oya Ekin Karasan
PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu