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» Classification Using Multiple and Negative Target Rules
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ICIP
2010
IEEE
13 years 5 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
14 years 18 days ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
3DPVT
2006
IEEE
145views Visualization» more  3DPVT 2006»
14 years 1 months ago
Light Source Calibration for IBR and BTF Acquisition Setups
Working with IBR/BTF data requires a complete calibration. Modern setups speed up recordings by using multiple lamps and cameras. Therefore, the calibration task gets more time co...
Alexander Neubeck, Alexey Zalesny, Luc J. Van Gool
PACT
2001
Springer
13 years 11 months ago
Fusion of Concurrent Invocations of Exclusive Methods
Abstract. This paper describes a mechanism for “fusing” concurrent invocations of exclusive methods. The target of our work is object-oriented languages with concurrent extensi...
Yoshihiro Oyama, Kenjiro Taura, Akinori Yonezawa
SPAA
2006
ACM
14 years 1 months ago
Semi-oblivious routing
We initiate the study of semi-oblivious routing, a relaxation of oblivious routing which is first introduced by R¨acke and led to many subsequent improvements and applications. ...
Mohammad Taghi Hajiaghayi, Robert D. Kleinberg, To...