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» Image Based Regression Using Boosting Method
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ICIP
2006
IEEE
15 years 11 months ago
A Boosted Adaptive Particle Filter for Face Detection and Tracking
A novel algorithm, termed a Boosted Adaptive Particle Filter (BAPF), for integrated face detection and face tracking is proposed. The proposed algorithm is based on the synthesis ...
Wenlong Zheng, Suchendra M. Bhandarkar
91
Voted
BMCBI
2007
139views more  BMCBI 2007»
14 years 9 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
NIPS
2007
14 years 11 months ago
Statistical Analysis of Semi-Supervised Regression
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
John D. Lafferty, Larry A. Wasserman
88
Voted
CIVR
2007
Springer
144views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Image retrieval on large-scale image databases
Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing ...
Eva Hörster, Rainer Lienhart, Malcolm Slaney
CVPR
2008
IEEE
15 years 11 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...