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» A Data Model for Moving Objects Supporting Aggregation
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CVPR
2005
IEEE
16 years 3 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
IJAR
1998
76views more  IJAR 1998»
15 years 1 months ago
Multi-site scheduling with fuzzy concepts
The objective of multi-site scheduling is to support the scheduling activities of a global scheduler and schedulers in distributed production plants in a cooperative way. A global...
Jürgen Sauer, Gerd Suelmann, Hans-Jürgen...
VLDB
2004
ACM
203views Database» more  VLDB 2004»
15 years 7 months ago
PLACE: A Query Processor for Handling Real-time Spatio-temporal Data Streams
The emergence of location-aware services calls for new real-time spatio-temporal query processing algorithms that deal with large numbers of mobile objects and queries. In this de...
Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref, ...
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ECTEL
2010
Springer
14 years 11 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
DOLAP
2005
ACM
15 years 3 months ago
Providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP
A novel framework for providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP is presented in this paper. Such a framework allows u...
Alfredo Cuzzocrea