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87
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CVPR
2008
IEEE
16 years 2 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
CVPR
2006
IEEE
16 years 2 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
104
Voted
JBI
2008
127views Bioinformatics» more  JBI 2008»
15 years 15 days ago
Infrastructure for dynamic knowledge integration - Automated biomedical ontology extension using textual resources
We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing ...
Vít Novácek, Loredana Laera, Siegfri...
107
Voted
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 19 days ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ICCV
2007
IEEE
16 years 2 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang