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ICPR
2010
IEEE
14 years 3 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...
IBPRIA
2007
Springer
14 years 1 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu
TDP
2010
124views more  TDP 2010»
13 years 8 months ago
Random Forests for Generating Partially Synthetic, Categorical Data
Abstract. Several national statistical agencies are now releasing partially synthetic, public use microdata. These comprise the units in the original database with sensitive or ide...
Gregory Caiola, Jerome P. Reiter
COMPGEOM
2010
ACM
14 years 3 months ago
Optimal partition trees
We revisit one of the most fundamental classes of data structure problems in computational geometry: range searching. Back in SoCG’92, Matouˇsek gave a partition tree method fo...
Timothy M. Chan
ICRA
2003
IEEE
159views Robotics» more  ICRA 2003»
14 years 3 months ago
Randomized manipulation planning for a multi-fingered hand by switching contact modes
Abstract— This paper presents a randomized manipulation planner for a multi-fingered hand by switching contact modes. Manipulation planning for such a system should consider cha...
Masahito Yashima, Yoshikazu Shiina, Hideya Yamaguc...