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» A Method for Dynamic Clustering of Data
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CVPR
2008
IEEE
16 years 7 months ago
Sequential sparsification for change detection
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented wit...
Necmiye Ozay, Mario Sznaier, Octavia I. Camps
WSC
2008
15 years 7 months ago
Using situational simulations to collect and analyze dynamic construction management decision-making data
In this paper we lay the foundations for studying decisionmaking in complex dynamic construction management scenarios using situational simulations as experimental testbeds. We dr...
Matt Watkins, Amlan Mukherjee, Nilufer Onder
139
Voted
SSD
2005
Springer
122views Database» more  SSD 2005»
15 years 10 months ago
Selectivity Estimation of High Dimensional Window Queries via Clustering
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
Christian Böhm, Hans-Peter Kriegel, Peer Kr&o...
ICTAI
2008
IEEE
15 years 11 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui
146
Voted
JFR
2010
119views more  JFR 2010»
14 years 11 months ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot