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» Selectivity Estimation using Probabilistic Models
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FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
15 years 6 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
TMI
1998
140views more  TMI 1998»
14 years 11 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
108
Voted
TSP
2010
14 years 6 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ATS
2003
IEEE
105views Hardware» more  ATS 2003»
15 years 5 months ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...
ICASSP
2007
IEEE
14 years 12 months ago
All-Pole Spectral Envelope Modelling with Order Selection for Harmonic Signals
We present a study into all-pole spectral envelope estimation for the case of harmonic signals. We address the problem of the selection of the model order and propose to make use ...
Fernando Villavicencio, Axel Röbel, Xavier Ro...