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» Image Based Regression Using Boosting Method
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153
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IPM
2008
100views more  IPM 2008»
15 years 3 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
142
Voted
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
15 years 1 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
127
Voted
ICCV
2011
IEEE
14 years 3 months ago
Optimizing Polynomial Solvers for Minimal Geometry Problems
In recent years polynomial solvers based on algebraic geometry techniques, and specifically the action matrix method, have become popular for solving minimal problems in computer...
Oleg Naroditsky, Kostas Daniilidis
93
Voted
CVPR
2010
IEEE
15 years 9 months ago
Line Matching Leveraged By Point Correspondences
A novel method for line matching is proposed. The basic idea is to use tentative point correspondences, which can be easily obtained by keypoint matching methods, to significantly...
Bin Fan, Fuchao Wu, Zhanyi Hu
175
Voted
ECCV
1998
Springer
16 years 5 months ago
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications
Abstract. This paper presents a new framework for analyzing the geometry of multiple 3D scene points from multiple uncalibrated images, based on decomposing the projection of these...
Michal Irani, P. Anandan, Daphna Weinshall