Fetching the paper…
Reading the bibliography…
We present a novel deep neural network architecture for unsupervised subspace clustering.
Parameterisation of a stochastic model for human face identification
F. S. Samaria and A. C. Harter · 1994
Earlier work this paper cites.
Columbia object image library (COIL-100)
S. A. Nene, S. K. Nayar, and H. Murase · 1996
Earlier work this paper cites.
Columbia object image library (COIL-20)
S. A. Nene, S. K. Nayar, and H. Murase · 1996
Earlier work this paper cites.
A multibody factorization method for independently moving objects
J. Costeira and T. Kanade · 1998
Earlier work this paper cites.
Normalized cuts and image segmentation
J. Shi and J. Malik · 2000
Earlier work this paper cites.
Motion segmentation by subspace separation and model selection
K.-i. Kanatani · 2001
Earlier work this paper cites.
On spectral clustering: Analysis and an algorithm
A. Y. Ng, M. I. Jordan, Y. Weiss, et al · 2001
Earlier work this paper cites.
Lambertian reflectance and linear subspaces
R. Basri and D. W. Jacobs · 2003
Earlier work this paper cites.
Clustering appearances of objects under varying illumination conditions
J. Ho, M.-H. Yang, J. Lim, K.-C. Lee, and D. Kriegman · 2003
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
Earlier work this paper cites.
Kernel methods for pattern analysis
J. Shawe-Taylor and N. Cristianini · 2004
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Acquiring linear subspaces for face recognition under variable lighting
K.-C. Lee, J. Ho, and D. J. Kriegman · 2005
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Earlier work this paper cites.
A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate
J. Yan and M. Pollefeys · 2006
Earlier work this paper cites.
Learning a spatially smooth subspace for face recognition
D. Cai, X. He, Y. Hu, J. Han, and T. Huang · 2007
Earlier work this paper cites.
Segmentation of multivariate mixed data via lossy data coding and compression
Y. Ma, H. Derksen, W. Hong, and J. Wright · 2007
Earlier work this paper cites.
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
S. R. Rao, R. Tron, R. Vidal, and Y. Ma · 2008
Earlier work this paper cites.
Multiframe motion segmentation with missing data using powerfactorization and GPCA
R. Vidal, R. Tron, and R. Hartley · 2008
Cited alongside, same era.
Unsupervised segmentation of natural images via lossy data compression
A. Y. Yang, J. Wright, Y. Ma, and S. S. Sastry · 2008
Cited alongside, same era.
Kernel spectral curvature clustering (KSCC)
G. Chen, S. Atev, and G. Lerman · 2009
Cited alongside, same era.
Spectral curvature clustering (SCC)
G. Chen and G. Lerman · 2009
Cited alongside, same era.
Sparse subspace clustering
E. Elhamifar and R. Vidal · 2009
Cited alongside, same era.
Robust subspace segmentation by low-rank representation
G. Liu, Z. Lin, and Y. Yu · 2010
Cited alongside, same era.
Provable subspace clustering: When LRR meets SSC
Y.-X. Wang, H. Xu, and C. Leng · 2013
Later among the works it cites.
Robust subspace segmentation with block-diagonal prior
J. Feng, Z. Lin, H. Xu, and S. Yan · 2014
Later among the works it cites.
Efficient dense subspace clustering
P. Ji, M. Salzmann, and H. Li · 2014
Later among the works it cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Later among the works it cites.
Kernel sparse subspace clustering
V. M. Patel and R. Vidal · 2014
Later among the works it cites.
Clustering with hypergraphs: the case for large hyperedges
P. Purkait, T.-J. Chin, H. Ackermann, and D. Suter · 2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010
Cited alongside, same era.
Graph regularized nonnegative matrix factorization for data representation
D. Cai, X. He, J. Han, and T. Huang · 2011
Cited alongside, same era.
A closed form solution to robust subspace estimation and clustering
P. Favaro, R. Vidal, and A. Ravichandran · 2011
Cited alongside, same era.
Stacked convolutional auto-encoders for hierarchical feature extraction
J. Masci, U. Meier, D. Cireşan, and J. Schmidhuber · 2011
Cited alongside, same era.
Subspace clustering
R. Vidal · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Low rank subspace clustering (LRSC)
R. Vidal and P. Favaro · 2014
Later among the works it cites.
Shape interaction matrix revisited and robustified: Efficient subspace clustering with corrupted and incomplete data
P. Ji, M. Salzmann, and H. Li · 2015
Later among the works it cites.
Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
Later among the works it cites.
Structured sparse subspace clustering: A unified optimization framework
C.-G. Li and R. Vidal · 2015
Later among the works it cites.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al · 2016
Later among the works it cites.
Deep subspace clustering with sparsity prior
X. Peng, S. Xiao, J. Feng, W.-Y. Yau, and Z. Yi · 2016
Later among the works it cites.
Robust kernel low-rank representation
S. Xiao, M. Tan, D. Xu, and Z. Y. Dong · 2016
Later among the works it cites.
Unsupervised deep embedding for clustering analysis
J. Xie, R. Girshick, and A. Farhadi · 2016
Later among the works it cites.
Kernel sparse subspace clustering on symmetric positive definite manifolds
M. Yin, Y. Guo, J. Gao, Z. He, and S. Xie · 2016
Later among the works it cites.
Oracle based active set algorithm for scalable elastic net subspace clustering
C. You, C.-G. Li, D. P. Robinson, and R. Vidal · 2016
Later among the works it cites.
Scalable sparse subspace clustering by orthogonal matching pursuit
C. You, D. Robinson, and R. Vidal · 2016
Later among the works it cites.