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» Efficiently Detecting Inclusion Dependencies
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IJCV
1998
238views more  IJCV 1998»
13 years 7 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
JDCTA
2010
188views more  JDCTA 2010»
13 years 2 months ago
Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...
Bing Liu, Ping Fu, Shengwei Meng, Lunping Guo
ECCV
2004
Springer
14 years 9 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
WCE
2007
13 years 8 months ago
Analysis of User Specific Interleavers for Iterative Multi-User Detection System
—Interleave division multiple access (IDMA) and orthogonal frequency division multiplexing – interleave division multiple access (OFDM-IDMA) have been proposed for beyond third...
Omer Nawaz, Waqas Nasir, Zia Bhadiar, Imtiaz Ahmed...
ICDE
2006
IEEE
110views Database» more  ICDE 2006»
14 years 8 months ago
Detecting Duplicates in Complex XML Data
Recent work both in the relational and the XML world have shown that the efficacy and efficiency of duplicate detection is enhanced by regarding relationships between entities. Ho...
Melanie Weis, Felix Naumann