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119
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JEA
1998
133views more  JEA 1998»
15 years 3 months ago
A New Deterministic Parallel Sorting Algorithm with an Experimental Evaluation
We introduce a new deterministic parallel sorting algorithm based on the regular sampling approach. The algorithm uses only two rounds of regular all-to-all personalized communica...
David R. Helman, Joseph JáJá, David ...
154
Voted

Publication
922views
16 years 10 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
127
Voted
MICCAI
2010
Springer
15 years 2 months ago
Agreement-Based Semi-supervised Learning for Skull Stripping
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...
142
Voted
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 3 months ago
Perfectly Secure Steganography: Capacity, Error Exponents, and Code Constructions
An analysis of steganographic systems subject to the following perfect undetectability condition is presented in this paper. Following embedding of the message into the covertext,...
Ying Wang, Pierre Moulin
134
Voted
CCS
2008
ACM
15 years 5 months ago
A general model of probabilistic packet marking for IP traceback
In this paper, we model Probabilistic Packet Marking (PPM) schemes for IP traceback as an identification problem of a large number of markers. Each potential marker is associated ...
Liming Lu, Mun Choon Chan, Ee-Chien Chang