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CSDA
2007
136views more  CSDA 2007»
13 years 8 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang
3DPVT
2006
IEEE
158views Visualization» more  3DPVT 2006»
14 years 22 days ago
Revealing Significant Medial Structure in Polyhedral Meshes
Medial surfaces are popular representations of 3D objects in vision, graphics and geometric modeling. They capture relevant symmetries and part hierarchies and also allow for deta...
Svetlana Stolpner, Kaleem Siddiqi
CVPR
1999
IEEE
14 years 11 months ago
Simultaneous Extraction of Functional Face Subspaces
Facial variation divides into a number of functional subspaces. An improved method of measuring these was designed, within the space defined by an Appearance Model. Initial estima...
Nicholas Costen, Timothy F. Cootes, Gareth J. Edwa...
COMPGEOM
2009
ACM
14 years 1 months ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani
NIPS
2007
13 years 10 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...