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PRL
2007
138views more  PRL 2007»
13 years 7 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 25 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
2008
IEEE
14 years 10 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
ISBI
2004
IEEE
14 years 8 months ago
A Novel Closed Form Solution for Ultrasound Calibration
This paper describes a new robust method for calibration of ultrasound probe (2D/3D). Prior to calibration, a position sensor is attached to the probe for tagging each image/volum...
Emad Boctor, Anand Viswanathan, Michael A. Choti, ...
WWW
2006
ACM
14 years 8 months ago
One document to bind them: combining XML, web services, and the semantic web
We present a paradigm for uniting the diverse strands of XML-based Web technologies by allowing them to be incorporated within a single document. This overcomes the distinction be...
Harry Halpin, Henry S. Thompson