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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
16 years 20 hour ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
BMCBI
2011
14 years 9 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
COSIT
2001
Springer
142views GIS» more  COSIT 2001»
15 years 10 months ago
The Utility of Global Representations in a Cognitive Map
In this paper we propose the use of small global memory for a viewer’s immediate surroundings to assist in recognising places that have been visited previously. We call this glob...
Margaret E. Jefferies, Wai K. Yeap
AAAI
2006
15 years 7 months ago
A Multi Agent Approach to Vision Based Robot Scavenging
This paper proposes a design for our entry into the 2006 AAAI Scavenger Hunt Competition and Robot Exhibition. We will be entering a scalable two agent system consisting of off-th...
Kamil Wnuk, Brian Fulkerson, Jeremi Sudol
CVPR
1999
IEEE
16 years 7 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie