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» Model selection by sequentially normalized least squares
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MCS
2009
Springer
14 years 3 days ago
Regularized Linear Models in Stacked Generalization
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
Samuel Robert Reid, Gregory Z. Grudic
TIP
2010
155views more  TIP 2010»
13 years 6 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
ACCV
2010
Springer
13 years 2 months ago
Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery
We present a new approach to robustly solve photometric stereo problems. We cast the problem of recovering surface normals from multiple lighting conditions as a problem of recover...
Lun Wu, Arvind Ganesh, Boxin Shi, Yasuyuki Matsush...
ICML
2009
IEEE
14 years 8 months ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans
SMA
2008
ACM
154views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Consistent computation of first- and second-order differential quantities for surface meshes
Differential quantities, including normals, curvatures, principal directions, and associated matrices, play a fundamental role in geometric processing and physics-based modeling. ...
Xiangmin Jiao, Hongyuan Zha