Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
CRYPTO
2012
Springer
241views Cryptology» more  CRYPTO 2012»
10 years 4 months ago
Crowd-Blending Privacy
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
ICDE
2012
IEEE
241views Database» more  ICDE 2012»
10 years 4 months ago
GeoFeed: A Location Aware News Feed System
Abstract—This paper presents the GeoFeed system; a locationaware news feed system that provides a new platform for its users to get spatially related message updates from either ...
Jie Bao 0003, Mohamed F. Mokbel, Chi-Yin Chow
ICCV
2011
IEEE
11 years 1 months ago
Feature Seeding for Action Recognition
Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the ri...
Pyry Matikainen, Rahul Sukthankar, Martial Hebert
PRL
2011
11 years 4 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
CORR
2010
Springer
89views Education» more  CORR 2010»
11 years 11 months ago
A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
Anjan Kumar Kundu, Bijoy Bandyopadhyay, Sugata San...
DRR
2009
11 years 11 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
PSD
2010
Springer
108views Database» more  PSD 2010»
12 years 10 days ago
Disclosure Risk of Synthetic Population Data with Application in the Case of EU-SILC
In survey statistics, simulation studies are usually performed by repeatedly drawing samples from population data. Furthermore, population data may be used in courses on survey sta...
Matthias Templ, Andreas Alfons
ALIFE
2008
12 years 1 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
JCP
2006
117views more  JCP 2006»
12 years 1 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
JMM2
2008
122views more  JMM2 2008»
12 years 1 months ago
Applicability of White-Balancing Algorithms to Restoring Faded Colour Slides: An Empirical Evaluation
In this paper we investigated the applicability of commonly used white-balancing algorithms to restoring faded photographic colour slides. We have used three sets of synthetic data...
Dennis Nikitenko, Michael A. Wirth, Kataline Trude...
books