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» Using Maximum Entropy for Automatic Image Annotation
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WIAMIS
2009
IEEE
14 years 2 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
ICIP
2008
IEEE
14 years 9 months ago
Efficient BP stereo with automatic paramemeter estimation
In this paper, we propose a series of techniques to enhance the computational performance of existing Belief Propagation (BP) based stereo matching that relies on automatic estima...
Shafik Huq, Andreas Koschan, Besma R. Abidi, Mongi...
CBMS
2006
IEEE
14 years 2 months ago
Using the Morphology of the Photoplethysmogram Envelope to Automatically Detect Hypovolemia
There currently is no clinically accepted noninvasive technique for detecting moderate blood loss. Clinicians instead normally rely on lagging indicators such as blood pressure an...
Stephen Paul Linder, Suzanne Wendelken
WACV
2012
IEEE
12 years 3 months ago
Street view goes indoors: Automatic pose estimation from uncalibrated unordered spherical panoramas
We present a novel algorithm that takes as input an uncalibrated unordered set of spherical panoramic images and outputs their relative pose up to a global scale. The panoramas co...
Mohamed Aly, Jean-Yves Bouguet
KAIS
2006
172views more  KAIS 2006»
13 years 8 months ago
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex f...
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodi...