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ICPR
2010
IEEE
14 years 8 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader
GRC
2008
IEEE
14 years 11 months ago
Towards Real-time Performance of Data Value Hiding for Frequent Data Updates
Hiding data values in privacy-preserving data mining (PPDM) protects information against unauthorized attacks while maintaining analytical data properties. The most popular models...
Jie Wang, Justin Zhan, Jun Zhang
LCN
2003
IEEE
15 years 3 months ago
Evaluating System Performance in Gigabit Networks
- With the current wide deployment of Gigabit Ethernet technology in the backbone and workgroup switches, the network performance bottleneck has shifted for the first time in nearl...
Khaled Salah, K. El-Badawi
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 13 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
CVIU
2011
14 years 1 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla