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» Testing of Image Processing Algorithms on Synthetic Data
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BMCBI
2010
118views more  BMCBI 2010»
15 years 4 months ago
Identifying differentially regulated subnetworks from phosphoproteomic data
Background: Various high throughput methods are available for detecting regulations at the level of transcription, translation or posttranslation (e.g. phosphorylation). Integrati...
Martin Klammer, Klaus Godl, Andreas Tebbe, Christo...
ATS
2010
IEEE
229views Hardware» more  ATS 2010»
15 years 2 months ago
Variation-Aware Fault Modeling
Abstract--To achieve a high product quality for nano-scale systems both realistic defect mechanisms and process variations must be taken into account. While existing approaches for...
Fabian Hopsch, Bernd Becker, Sybille Hellebrand, I...
CVPR
2010
IEEE
15 years 9 months ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
SIGGRAPH
2003
ACM
15 years 9 months ago
TensorTextures
This paper introduces a tensor framework for image-based rendering. In particular, we develop an algorithm called TensorTextures that learns a parsimonious model of the bidirectio...
M. Alex O. Vasilescu, Demetri Terzopoulos
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 5 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...