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» Novel Algorithms for Privacy Preserving Utility Mining
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KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
SIGMOD
2004
ACM
100views Database» more  SIGMOD 2004»
14 years 7 months ago
Cost-Based Labeling of Groups of Mass Spectra
We make two main contributions in this paper. First, we motivate and introduce a novel class of data mining problems that arise in labeling a group of mass spectra, specifically f...
Lei Chen 0003, Zheng Huang, Raghu Ramakrishnan
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 18 days ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
ISCAS
2008
IEEE
230views Hardware» more  ISCAS 2008»
14 years 1 months ago
Joint optimization of data hiding and video compression
— From copyright protection to error concealment, video data hiding has found usage in a great number of applications. Recently proposed applications such as privacy data preserv...
Jithendra K. Paruchuri, Sen-Ching S. Cheung
ISM
2008
IEEE
161views Multimedia» more  ISM 2008»
14 years 1 months ago
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding
Many popular image compression schemes are based on block-transform coding, a technique where images are broken into small blocks of pixels prior to transformation and compression...
Alexander Wong, William Bishop