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» Learning Models for Object Recognition
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CVPR
2003
IEEE
14 years 11 months ago
The Effects of Segmentation and Feature Choice in a Translation Model of Object Recognition
Kobus Barnard, Pinar Duygulu, Raghavendra Guru, Pr...
CVPR
2005
IEEE
14 years 11 months ago
Object Class Recognition by Boosting a Part-Based Model
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ISBI
2008
IEEE
14 years 9 months ago
Flexible synapse detection in fluorescence micrographs by modeling human expert grading
A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffu...
Julia Herold, Manuela Friedenberger, Marcus Bode, ...
ICML
2008
IEEE
14 years 10 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
IJCV
2011
264views more  IJCV 2011»
13 years 4 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman