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ICPR
2010
IEEE
13 years 7 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
IROS
2009
IEEE
141views Robotics» more  IROS 2009»
14 years 3 months ago
Robust on-line model-based object detection from range images
— A mobile robot that accomplishes high level tasks needs to be able to classify the objects in the environment and to determine their location. In this paper, we address the pro...
Bastian Steder, Giorgio Grisetti, Mark Van Loock, ...
IJCNN
2006
IEEE
14 years 2 months ago
An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classif
Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
Steve Green, Michael Blumenstein
NIPS
2004
13 years 10 months ago
Face Detection - Efficient and Rank Deficient
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Fr...
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 8 months ago
Detecting Danger: The Dendritic Cell Algorithm
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...
Julie Greensmith, Uwe Aickelin, Steve Cayzer