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» Experimental Design for Variable Selection in Data Bases
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ICDE
2005
IEEE
118views Database» more  ICDE 2005»
16 years 7 months ago
A Framework for High-Accuracy Privacy-Preserving Mining
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...
Shipra Agrawal, Jayant R. Haritsa
ICIP
2004
IEEE
16 years 7 months ago
Data hiding using trellis coded quantization
Information theoretic tools lead to the design and analysis of new blind data hiding methods. A novel quantizationbased blind method, which uses trellis coded quantization, is pro...
Ersin Esen, A. Aydin Alatan
214
Voted
DICTA
2008
15 years 7 months ago
Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
HIPEAC
2005
Springer
15 years 11 months ago
Memory-Centric Security Architecture
Abstract. This paper presents a new security architecture for protecting software confidentiality and integrity. Different from the previous process-centric systems designed for ...
Weidong Shi, Chenghuai Lu, Hsien-Hsin S. Lee
DCOSS
2011
Springer
14 years 6 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun