Fetching the paper…
Reading the bibliography…
We propose one-class support measure machines (OCSMMs) for group anomaly detection which aims at recognizing anomalous aggregate behaviors of data points.
Variable kernel estimates of multivariate densities
L. Breiman, W. Meisel, and E. Purcell · 1977
Earlier work this paper cites.
On bandwidth variation in kernel estimates-a square root law
I. S. Abramson · 1982
Earlier work this paper cites.
Variable kernel density estimation
G. R. Terrell and D. W. Scott · 1992
Earlier work this paper cites.
Support vector domain description
D. M. J. Tax and R. P. W. Duin · 1999
Earlier work this paper cites.
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
B. Schölkopf and A. J. Smola · 2001
Earlier work this paper cites.
Estimating the support of a high-dimensional distribution
B. Schölkopf, J. C. Platt, J. C. Shawe-Taylor, A. J. Smola, and R. C. Williamson · 2001
Earlier work this paper cites.
Latent dirichlet allocation
D. M. Blei, A. Y. Ng, and M. I. Jordan · 2003
Earlier work this paper cites.
Reproducing Kernel Hilbert Spaces in Probability and Statistics
A. Berlinet and T. C. Agnan · 2004
Earlier work this paper cites.
Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
K. Fukumizu, F. R. Bach, and M. I. Jordan · 2004
Cited alongside, same era.
Support vector data description
D. M. J. Tax and R. P. W. Duin · 2004
Cited alongside, same era.
Modeling multiple time series for anomaly detection
P. K. Chan and M. V. Mahoney · 2005
Cited alongside, same era.
Kernel PCA for novelty detection
H. Hoffmann · 2007
Cited alongside, same era.
A hilbert space embedding for distributions
A. Smola, A. Gretton, L. Song, and B. Schölkopf · 2007
Cited alongside, same era.
Anomaly pattern detection in categorical datasets
K. Das, J. Schneider, and D. B. Neill · 2008
Cited alongside, same era.
Hilbert space embeddings and metrics on probability measures
B. K. Sriperumbudur, A. Gretton, K. Fukumizu, B. Schölkopf, and G. R. G. Lanckriet · 2010
Later among the works it cites.
Multivariate Analysis Methods in Particle Physics
P. C. Bhat · 2011
Later among the works it cites.
Think outside the color box: Probabilistic target selection and the sdss-xdqso quasar targeting catalog
J. Bovy, J. F. Hennawi, D. W. Hogg, A. D. Myers, J. A. Kirkpatrick, D. J.Schlegel, N. P. Ross, E. S. Sheldon, I. D. McGreer, D. P. Schneider, and B. A. Weaver · 2011
Later among the works it cites.
A simple likelihood method for quasar target selection
J. A. Kirkpatrick, D. J. Schlegel, N. P. Ross, A. D. Myers, J. F. Hennawi, E. S.Sheldon, D. P. Schneider, and B. A. Weaver · 2011
Later among the works it cites.
Nonparametric divergence estimation with applications to machine learning on distributions
B. Póczos, L. Xiong, and J. G. Schneider · 2011
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
V. Chandola, A. Banerjee, and V. Kumar · 2009
Cited alongside, same era.
Anomaly detection with score functions based on nearest neighbor graphs
M. Zhao and V. Saligrama · 2009
Cited alongside, same era.
Group anomaly detection using flexible genre models
L. Xiong, B. Poczos, and J. Schneider
Cited in the paper.
Hierarchical probabilistic models for group anomaly detection
L. Xiong, B. Póczos, J. G. Schneider, A. Connolly, and J. VanderPlas
Cited in the paper.
K. Muandet, K. Fukumizu, F. Dinuzzo, and B. Schölkopf · 2012
Later among the works it cites.
The sdss-iii baryon oscillation spectroscopic survey: Quasar target selection for data release nine
N. P. Ross, A. D. Myers, E. S. Sheldon, C. Yèche, M. A. Strauss, J. Bovy, J. A. Kirkpatrick, G. T. Richards, Éric Aubourg, M. R. Blanton, W. N. Brandt, W. C. Carithers, R. A. C. Croft, R. da Silva, K. Dawson, D. J. Eisenstein, J. F. Hennawi, S. Ho, D. W. Hogg, K.-G. Lee, B. Lundgren, R. G. McMahon, J. Miralda-Escudé, N. Palanque-Delabrouille, I. Pâris, P. Petitjean, M. M. Pieri, J. Rich, N. A. Roe, D. Schiminovich, D. J. Schlegel, D. P. Schneider, A. Slosar, N. Suzuki, J. L. Tinker, D. H. Weinberg, A. Weyant, M. White, and W. M. Wood-Vasey · 2012
Later among the works it cites.
Semi-supervised detection of collective anomalies with an application in high energy particle physics
T. Vatanen, M. Kuusela, E. Malmi, T. Raiko, T. Aaltonen, and Y. Nagai · 2012
Later among the works it cites.