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GI
2009
Springer
13 years 5 months ago
A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems
: In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. ...
Christian Küblbeck, Tobias Ruf, Andreas Ernst
AAAI
2007
13 years 10 months ago
Actively Exploring Creation of Face Space(s) for Improved Face Recognition
We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We...
Nitesh V. Chawla, Kevin W. Bowyer
HUC
2007
Springer
14 years 1 months ago
Symbolic Object Localization Through Active Sampling of Acceleration and Sound Signatures
We describe a novel method for symbolic location discovery of simple objects. The method requires no infrastructure and relies on simple sensors routinely used in sensor nodes and ...
Kai S. Kunze, Paul Lukowicz
AIA
2006
13 years 9 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
GBRPR
2005
Springer
14 years 1 months ago
Coarse-to-Fine Object Recognition Using Shock Graphs
Shock graphs have emerged as a powerful generic 2-D shape representation. However, most approaches typically assume that the silhouette has been correctly segmented. In this paper,...
Aurelie Bataille, Sven J. Dickinson