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» Learning Models for Object Recognition
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ICIP
2009
IEEE
15 years 28 days ago
Face virtual pose generation using aligned locally linear regression for face recognition
In this paper a new solution for the single sample problem in low resolution face recognition is proposed. The proposed solution uses an enhanced virtual pose generation method to...
Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat
CVPR
2005
IEEE
16 years 5 months ago
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha ...
CVPR
2008
IEEE
16 years 5 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
ECCV
2004
Springer
16 years 5 months ago
Tracking Aspects of the Foreground against the Background
In object tracking, change of object aspect is a cause of failure due to significant changes of object appearances. The paper proposes an approach to this problem without a priori ...
Hieu Tat Nguyen, Arnold W. M. Smeulders
ECCV
2008
Springer
16 years 5 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...