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ICML
2003
IEEE
16 years 4 months ago
Text Bundling: Statistics Based Data-Reduction
As text corpora become larger, tradeoffs between speed and accuracy become critical: slow but accurate methods may not complete in a practical amount of time. In order to make the...
Lawrence Shih, Jason D. Rennie, Yu-Han Chang, Davi...
GREC
2005
Springer
15 years 8 months ago
Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment
In this paper, a novel, adaptive noise reduction method for engineering drawings is proposed based on assessment of both primitives and noise. Unlike the current approaches, our m...
Jing Zhang, Wan Zhang, Liu Wenyin
ICCBR
2003
Springer
15 years 8 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
MICCAI
2010
Springer
15 years 1 months ago
Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography
Abstract. We introduce a value-based noise reduction method for DualEnergy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans o...
Michael Balda, Björn Heismann, Joachim Horneg...
JIPS
2010
107views more  JIPS 2010»
14 years 10 months ago
Incremental Model-based Test Suite Reduction with Formal Concept Analysis
Test scenarios can be derived based on some system models for requirements validation purposes. Model-based test suite reduction aims to provide a smaller set of test scenarios whi...
Pin Ng, Richard Y. K. Fung, Ray W. M. Kong