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DOCENG
2007
ACM
15 years 7 months ago
Speculative document evaluation
Optimisation of real world Variable Data printing (VDP) documents is a difficult problem because the interdependencies between layout functions may drastically reduce the number o...
Alexander J. Macdonald, David F. Brailsford, Steve...
NIPS
2008
15 years 4 months ago
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Indraneel Mukherjee, David M. Blei
ALT
2009
Springer
16 years 13 days ago
Approximation Algorithms for Tensor Clustering
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
142
Voted
CIVR
2004
Springer
248views Image Analysis» more  CIVR 2004»
15 years 7 months ago
Automated Person Identification in Video
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
Mark Everingham, Andrew Zisserman
161
Voted
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 10 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...