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» Recognition of Parametrised Models from 3D Data
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ICASSP
2010
IEEE
13 years 8 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
BMCBI
2004
133views more  BMCBI 2004»
13 years 7 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
14 years 2 months ago
Interacting Object Tracking in Crowded Urban Areas
— Tracking in crowded urban areas is a daunting task. High crowdedness causes challenging data association problems. Different motion patterns from a wide variety of moving objec...
Chieh-Chih Wang, Tzu-Chien Lo, Shao-Wen Yang
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
14 years 2 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
AIPR
2002
IEEE
14 years 20 days ago
Hyperspectral Imaging of Kaposi's Sarcoma for Disease Assessment and Treatment Monitoring
Light spectroscopic methods are critical to advances in molecular characterization of disease processes. However, these methods have been limited to in-vitro or cell culture studi...
David Hattery, Moinuddin Hassan, Stavros Demos, Am...