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VLDB
2002
ACM
137views Database» more  VLDB 2002»
14 years 9 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
SIGMETRICS
2008
ACM
128views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Confident estimation for multistage measurement sampling and aggregation
Measurement, collection, and interpretation of network usage data commonly involves multiple stage of sampling and aggregation. Examples include sampling packets, aggregating them...
Edith Cohen, Nick G. Duffield, Carsten Lund, Mikke...
73
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ICIP
2007
IEEE
15 years 11 months ago
Estimating Steganographic Capacity for Odd-Even Based Embedding and its Use in Individual Compensation
We present a method to compute the steganographic capacity for images, with odd-even based hiding in the quantized discrete cosine transform domain. The method has been generalize...
Anindya Sarkar, B. S. Manjunath
PR
2010
129views more  PR 2010»
14 years 8 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
INFOCOM
2007
IEEE
15 years 4 months ago
Optimal Policies for Distributed Data Aggregation in Wireless Sensor Networks
Abstract— We consider the scenario of distributed data aggregation in wireless sensor networks, where each sensor can obtain and estimate the information of the whole sensing fi...
Zhenzhen Ye, Alhussein A. Abouzeid, Jing Ai