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» Constructing Visual Models with a Latent Space Approach
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ACCV
2010
Springer
14 years 8 months ago
Learning Rare Behaviours
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao...
ECCV
2008
Springer
16 years 3 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Abhinav Gupta, Larry S. Davis
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
15 years 3 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
BMCBI
2007
157views more  BMCBI 2007»
15 years 1 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...
MODELS
2010
Springer
14 years 12 months ago
Transforming Process Models: Executable Rewrite Rules versus a Formalized Java Program
Abstract. In the business process management community, transformations for process models are usually programmed using imperative languages (such as Java). The underlying mapping ...
Pieter Van Gorp, Rik Eshuis