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CVPR
2006
IEEE
16 years 9 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
CVPR
2007
IEEE
16 years 9 months ago
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
Le Lu, Gregory D. Hager
169
Voted
ICML
2002
IEEE
16 years 7 months ago
Learning Decision Trees Using the Area Under the ROC Curve
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
César Ferri, José Hernández-O...
STOC
2003
ACM
154views Algorithms» more  STOC 2003»
16 years 7 months ago
Boosting in the presence of noise
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
Adam Kalai, Rocco A. Servedio
COMSWARE
2007
IEEE
16 years 1 months ago
RAT: Routing by Adaptive Targeting in Wireless Sensor/Actor Networks
— Wireless sensor networks have attracted significant interest for various scientific, military, and e-health applications. Recently a new class of sensor networks “sensor/ac...
Ghalib A. Shah, Muslim Bozyigit, Demet Aksoy