Sciweavers

500 search results - page 10 / 100
» A Framework for Measuring Differences in Data Characteristic...
Sort
View
78
Voted
ICPR
2006
IEEE
15 years 10 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
99
Voted
HPCC
2010
Springer
14 years 10 months ago
Scheduling and Queue Management for Multi-class Traffic in Access Router of Mobility Protocol
The traffic characteristics in recent years have changed considerably having more video and audio traffic with critical real-time constraints. This situation is compounded by the i...
Md. Shohrab Hossain, Mohammed Atiquzzaman, William...
CORR
2008
Springer
115views Education» more  CORR 2008»
14 years 9 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
CN
2006
163views more  CN 2006»
14 years 9 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ICDE
2008
IEEE
131views Database» more  ICDE 2008»
15 years 10 months ago
Outlier-Aware Data Aggregation in Sensor Networks
In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework ca...
Antonios Deligiannakis, Vassilis Stoumpos, Yannis ...