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» Learning aspect models with partially labeled data
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CVPR
2008
IEEE
16 years 6 months ago
Estimating age, gender, and identity using first name priors
Recognizing people in images is one of the foremost challenges in computer vision. It is important to remember that consumer photography has a highly social aspect. The photograph...
Andrew C. Gallagher, Tsuhan Chen
141
Voted
TNN
2008
178views more  TNN 2008»
15 years 3 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
ICLP
2010
Springer
15 years 8 months ago
Bisimilarity in Concurrent Constraint Programming
Abstract. In this doctoral work we aim at developing a new approach to labelled semantics and equivalences for the Concurrent Constraint Programming (CCP) which will enable a broad...
Andres A. Aristizabal P.
UAI
1996
15 years 5 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Multi-Modal Video Concept Extraction Using Co-Training
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
Rong Yan, Milind R. Naphade