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» Calibrating Random Forests
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ALT
2007
Springer
14 years 5 months ago
On Calibration Error of Randomized Forecasting Algorithms
It has been recently shown that calibration with an error less than ∆ > 0 is almost surely guaranteed with a randomized forecasting algorithm, where forecasts are obtained by...
Vladimir V. V'yugin
ISCAS
2005
IEEE
118views Hardware» more  ISCAS 2005»
14 years 2 months ago
A robust background calibration technique for switched-capacitor pipelined ADCs
— This work presents a robust background calibration scheme for switched-capacitor (SC) pipelined analog-to-digital converters. A SC multiplying digital-to-analog converter (MDAC...
Jen-Lin Fan, Jieh-Tsorng Wu
DAGM
2010
Springer
13 years 9 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
ICPR
2010
IEEE
14 years 2 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...
CVPR
2003
IEEE
14 years 2 months ago
Adaptive Pattern Discovery for Interactive Multimedia Retrieval
Relevance feedback has been an indispensable component for multimedia retrieval systems. In this paper, we present an adaptive pattern discovery method, which addresses relevance ...
Yimin Wu, Aidong Zhang