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» Estimation of Chaotic Probabilities
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TMI
1998
140views more  TMI 1998»
13 years 10 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
TCOM
2010
120views more  TCOM 2010»
13 years 8 months ago
Improved linear soft-input soft-output detection via soft feedback successive interference cancellation
—We propose an improved minimum mean square error (MMSE) vertical Bell Labs layered space-time (V-BLAST) detection technique, called a soft input, soft output, and soft feedback ...
Jun Won Choi, Andrew C. Singer, Jung Woo Lee, Nam ...
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 8 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
CMOT
2010
203views more  CMOT 2010»
13 years 7 months ago
A Bayesian approach to modeling lost person behaviors based on terrain features in Wilderness Search and Rescue
: In Wilderness Search and Rescue (WiSAR), the incident commander (IC) creates a probability distribution map of the likely location of the missing person. This map is important be...
Lanny Lin, Michael A. Goodrich
TNN
2011
104views more  TNN 2011»
13 years 5 months ago
Extended Input Space Support Vector Machine
—In some applications, the probability of error of a given classifier is too high for its practical application, but we are allowed to gather more independent test samples from ...
Ricardo Santiago-Mozos, Fernando Pérez-Cruz...