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» A comparative study of two object recognition methods
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CVPR
2010
IEEE
15 years 11 months ago
A Steiner Tree approach to efficient object detection
We propose an approach to speeding up object detection, with an emphasis on settings where multiple object classes are being detected. Our method uses a segmentation algorithm to ...
Olga Russakovsky, Quoc Le, Andrew Ng
NIPS
2000
15 years 5 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
CVPR
2008
IEEE
16 years 5 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
CEC
2010
IEEE
15 years 5 months ago
Coordinate System Archive for coevolution
Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategie...
Wojciech Jaskowski, Krzysztof Krawiec
HICSS
2003
IEEE
159views Biometrics» more  HICSS 2003»
15 years 9 months ago
Emergent Structures in Supply Chains - A Study Integrating Agent-Based and System Dynamics Modeling
Supply chain management is a demanding and complicated task due to its broad scope and the strong connectedness of its objects and issues. In order to make theoretical investigati...
Nadine Schieritz, Andreas Größler