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ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 2 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
ICASSP
2010
IEEE
13 years 8 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
ICDM
2009
IEEE
126views Data Mining» more  ICDM 2009»
14 years 2 months ago
Convex Non-negative Matrix Factorization in the Wild
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
Christian Thurau, Kristian Kersting, Christian Bau...
VLDB
2000
ACM
229views Database» more  VLDB 2000»
13 years 11 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
BMCBI
2011
12 years 11 months ago
Detection of Lineage-Specific Evolutionary Changes among Primate Species
Background: Comparison of the human genome with other primates offers the opportunity to detect evolutionary events that created the diverse phenotypes among the primate species. ...
Mihaela Pertea, Geo Pertea, Steven L. Salzberg