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» A New Indexing Method for High Dimensional Dataset
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PR
2006
116views more  PR 2006»
13 years 8 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
BMCBI
2010
139views more  BMCBI 2010»
13 years 8 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
ICPR
2010
IEEE
14 years 2 months ago
New Wavelet and Color Features for Text Detection in Video
Automatic text detection in video is an important task for efficient and accurate indexing and retrieval of multimedia data such as events identification, events boundary identific...
Shivakumara Palaiahnakote, Trung Quy Phan, Chew-Li...
CIARP
2006
Springer
14 years 6 days ago
A New Approach to Multi-class Linear Dimensionality Reduction
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
Luis Rueda, Myriam Herrera
VLDB
2005
ACM
124views Database» more  VLDB 2005»
14 years 1 months ago
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions
In an “uncertain database”, an object o is associated with a multi-dimensional probability density function (pdf), which describes the likelihood that o appears at each positi...
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay N...