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AUSAI
2008
Springer
13 years 7 months ago
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata
Data anonymization techniques based on enhanced privacy principles have been the focus of intense research in the last few years. All existing methods achieving privacy principles ...
Xiaoxun Sun, Hua Wang, Jiuyong Li
CVPR
2012
IEEE
11 years 7 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
BMCBI
2004
113views more  BMCBI 2004»
13 years 5 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...
EDBT
2008
ACM
146views Database» more  EDBT 2008»
14 years 5 months ago
Attribute selection in multivariate microaggregation
Microaggregation is one of the most employed microdata protection methods. The idea is to build clusters of at least k original records, and then replace them with the centroid of...
Javier Herranz, Jordi Nin, Vicenç Torra
ERSHOV
2006
Springer
13 years 9 months ago
On the Importance of Parameter Tuning in Text Categorization
Abstract. Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may v...
Cornelis H. A. Koster, Jean Beney