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CVPR
2012
IEEE
11 years 10 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
KDD
1994
ACM
125views Data Mining» more  KDD 1994»
13 years 11 months ago
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth
This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...
Padhraic Smyth, Michael C. Burl, Usama M. Fayyad, ...
ICSM
2007
IEEE
14 years 2 months ago
Evaluation of Semantic Interference Detection in Parallel Changes: an Exploratory Experiment
Parallel developments are becoming increasingly prevalent in the building and evolution of large-scale software systems. Our previous studies of a large industrial project showed ...
Danhua Shao, Sarfraz Khurshid, Dewayne E. Perry
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
14 years 8 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
IJCV
2002
185views more  IJCV 2002»
13 years 7 months ago
Vision and the Atmosphere
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer ...
Srinivasa G. Narasimhan, Shree K. Nayar