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DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 9 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
IJPRAI
2006
100views more  IJPRAI 2006»
13 years 8 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
PVLDB
2008
146views more  PVLDB 2008»
13 years 7 months ago
Efficient search for the top-k probable nearest neighbors in uncertain databases
Uncertainty pervades many domains in our lives. Current real-life applications, e.g., location tracking using GPS devices or cell phones, multimedia feature extraction, and sensor...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas
TKDE
2010
199views more  TKDE 2010»
13 years 6 months ago
Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data
—Uncertain data is inherent in various important applications and reverse nearest neighbor (RNN) query is an important query type for many applications. While many different type...
Muhammad Aamir Cheema, Xuemin Lin, Wei Wang 0011, ...
MIA
2010
104views more  MIA 2010»
13 years 2 months ago
Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote
In this paper, different methods to improve atlas based segmentation are presented. The first technique is a new mapping of the labels of an atlas consistent with a given intensit...
Michaël Sdika