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FGR
1996
IEEE
117views Biometrics» more  FGR 1996»
14 years 6 days ago
Tracking and Learning Graphs and Pose on Image Sequences of Faces
We demonstrate a system capable of tracking, in real world image sequences, landmarks such as eyes, mouth, or chin on a face. In the standard version, knowledge previously collect...
Thomas Maurer, Christoph von der Malsburg
GBRPR
2007
Springer
13 years 12 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
AGI
2008
13 years 9 months ago
Cognitive Primitives for Automated Learning
Artificial Intelligence deals with the automated simulation of human intelligent behavior. Various aspects of human faculties are tackled using computational models. It is clear th...
Sudharsan Iyengar
JASIS
2008
94views more  JASIS 2008»
13 years 8 months ago
Eye tracking and online search: Lessons learned and challenges ahead
esult abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all ...
Lori Lorigo, Maya Haridasan, Hrönn Brynjarsd&...
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang