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AGI
2011
14 years 10 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
ICB
2007
Springer
308views Biometrics» more  ICB 2007»
16 years 14 days ago
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
ShengCai Liao, XiangXin Zhu, Zhen Lei, Lun Zhang, ...
194
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ICMLC
2005
Springer
15 years 12 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
CVPR
2010
IEEE
16 years 2 months ago
Gesture Recognition by Learning Local Motion Signatures
This paper overviews a new gesture recognition framework based on learning local motion signatures (LMSs) introduced by [1]. After the generation of these LMSs computed on one i...
Mohamed-Becha Kaaniche, Francois Bremond
ISMAR
2009
IEEE
16 years 29 days ago
Augmenting text document by on-line learning of local arrangement of keypoints
We propose a technique for text document tracking over a large range of viewpoints. Since the popular SIFT or SURF descriptors typically fail on such documents, our method conside...
Hideaki Uchiyama, Hideo Saito