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ICML
2007
IEEE
16 years 7 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
ICML
2007
IEEE
16 years 7 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
ICASSP
2009
IEEE
16 years 1 months ago
Risk-distortion analysis for video collusion attack
Collusion attack is a cost-effective attack against digital fingerprint. To develop an efficient collusion-resistant fingerprint scheme, it is very important for the detector t...
Yan Chen, W. Sabrina Lin, K. J. Ray Liu
WIAMIS
2009
IEEE
16 years 1 months ago
Comparative evaluation of spatial context techniques for semantic image analysis
In this paper, two approaches to utilizing contextual information in semantic image analysis are presented and comparatively evaluated. Both approaches make use of spatial context...
Georgios Th. Papadopoulos, Carsten Saathoff, Marci...
CVPR
2008
IEEE
16 years 1 months ago
Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
Nuno Pinho da Silva, João Paulo Costeira