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CVPR
2007
IEEE
16 years 8 months ago
A Novel Approach to Improve Biometric Recognition Using Rank Level Fusion
This paper proposes a novel approach for rank level fusion which gives improved performance gain verified by experimental results. In the absence of ranked features and instead of...
Jay Bhatnagar, Ajay Kumar, Nipun Saggar
ICASSP
2009
IEEE
16 years 1 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
PR
2008
102views more  PR 2008»
15 years 6 months ago
Classification in an informative sample subspace
We have developed an informative sample subspace (ISS) method that is suitable for projecting high-dimensional data onto a low-dimensional subspace for classification purposes. In...
Guoping Qiu, Jianzhong Fang
IDEAL
2010
Springer
15 years 5 months ago
Dimension Reduction for Regression with Bottleneck Neural Networks
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
Elina Parviainen
IGARSS
2009
15 years 4 months ago
Robust Endmember Extraction in the Presence of Anomalies
Most available methods for endmember extraction use the convexity of the data structure and consider the vertices of the data as the purest pixels. Such methods do not consider th...
Olga Duran, Maria Petrou