TY - GEN

T1 - Fast semi-supervised discriminative component analysis

AU - Peltonen, Jaakko

AU - Goldberger, Jacob

AU - Kaski, Samuel

PY - 2007

Y1 - 2007

N2 - We introduce a method that learns a class-discriminative subspace or discriminative components of data. Such a subspace is useful for visualization, dimensionality reduction, feature extraction, and for learning a regularized distance metric. We learn the subspace by optimizing a probabilistic semiparametric model, a mixture of Gaussians, of classes in the subspace. The semiparametric modeling leads to fast computation (O(N) for N samples) in each iteration of optimization, in contrast to recent nonparametric methods that take O(N2) time, but with equal accuracy. Moreover, we learn the subspace in a semi-supervised manner from three kinds of data: labeled and unlabeled samples, and unlabeled samples with pairwise constraints, with a unified objective.

AB - We introduce a method that learns a class-discriminative subspace or discriminative components of data. Such a subspace is useful for visualization, dimensionality reduction, feature extraction, and for learning a regularized distance metric. We learn the subspace by optimizing a probabilistic semiparametric model, a mixture of Gaussians, of classes in the subspace. The semiparametric modeling leads to fast computation (O(N) for N samples) in each iteration of optimization, in contrast to recent nonparametric methods that take O(N2) time, but with equal accuracy. Moreover, we learn the subspace in a semi-supervised manner from three kinds of data: labeled and unlabeled samples, and unlabeled samples with pairwise constraints, with a unified objective.

UR - http://www.scopus.com/inward/record.url?scp=48149106944&partnerID=8YFLogxK

U2 - 10.1109/mlsp.2007.4414325

DO - 10.1109/mlsp.2007.4414325

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AN - SCOPUS:48149106944

SN - 1424415667

SN - 9781424415663

T3 - Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

SP - 312

EP - 317

BT - Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

T2 - 17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007

Y2 - 27 August 2007 through 29 August 2007

ER -