Fetching the paper…
Reading the bibliography…
When learning a new concept, not all training examples may prove equally useful for training: some may have higher or lower training value than others.
Selection of relevant features and examples in machine learning
A. Blum and P. Langley · 1997
Earlier work this paper cites.
Robust principal component analysis for computer vision
F. De la Torre and M. Black · 2001
Earlier work this paper cites.
An introduction to variable and feature selection
I. Guyon and A. Elisseeff · 2003
Earlier work this paper cites.
Pruning training sets for learning of object categories
A. Angelova, Y. Abu-Mostafa, and P. Perona · 2005
Earlier work this paper cites.
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
Earlier work this paper cites.
Robust truncated hinge loss support vector machines
Y. Wu and Y. Liu · 2007
Earlier work this paper cites.
Curriculum learning
Y. Bengio, J. Louradour, R. Collobert, and J. Weston · 2009
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Cited alongside, same era.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
Cited alongside, same era.
Object detection with discriminatively trained part based models
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
Cited alongside, same era.
Classification and feature selection with human performance data
C. Pavlopoulou and S. Yu · 2010
Cited alongside, same era.
SUN Database: large-scale scene recognition from Abbey to Zoo
J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba · 2010
Cited alongside, same era.
Support vector machines with the ramp loss and the hard margin loss
J. P. Brooks · 2011
Cited alongside, same era.
Ensemble of exemplar-svms for object detection and beyond
T. Malisiewicz, A. Gupta, and A. A. Efros · 2011
Later among the works it cites.
Unbiased look at dataset bias
A. Torralba and A. Efros · 2011
Later among the works it cites.
Cost-sensitive active visual category learning
S. Vijayanarasimhan and K. Grauman · 2011
Later among the works it cites.
Discriminative decorrelation for clustering and classification
B. Hariharan, J. Malik, and D. Ramanan · 2012
Later among the works it cites.
Diagnosing error in object detectors
D. Hoiem, Y. Chodpathumwan, and Q. Dai · 2012
Later among the works it cites.
Latent hough transform for object detection
N. Razavi, J. Gall, P. Kohli, and L. van Gool · 2012
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Estimating scene typicality from human ratings and image features
K. A. Ehinger, J. Xiao, A. Torralba, and A. Oliva · 2011
Cited alongside, same era.
X. Zhu, C. Vondrick, D. Ramanan, and C. C. Fowlkes · 2012
Later among the works it cites.