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» Learning Models for Object Recognition
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CVPR
2003
IEEE
16 years 5 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
16 years 5 months ago
Object Class Recognition by Boosting a Part-Based Model
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ISBI
2008
IEEE
16 years 3 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
16 years 3 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»
14 years 10 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