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» A comparative study of two object recognition methods
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SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
15 years 10 months ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou
ICCV
2007
IEEE
15 years 11 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
IJSI
2008
156views more  IJSI 2008»
14 years 9 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
WWW
2010
ACM
15 years 4 months ago
Equip tourists with knowledge mined from travelogues
With the prosperity of tourism and Web 2.0 technologies, more and more people have willingness to share their travel experiences on the Web (e.g., weblogs, forums, or Web 2.0 comm...
Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang...
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 4 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...