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» Algorithms for discovering bucket orders from data
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ICTAI
2008
IEEE
15 years 10 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
131
Voted
EUROPAR
2009
Springer
15 years 8 months ago
A Buffer Space Optimal Solution for Re-establishing the Packet Order in a MPSoC Network Processor
We consider a multi-processor system-on-chip destined for streaming applications. An application is composed of one input and one output queue and in-between, several levels of ide...
Daniela Genius, Alix Munier Kordon, Khouloud Zine ...
IJDMB
2006
90views more  IJDMB 2006»
15 years 4 months ago
An efficient motif discovery algorithm with unknown motif length and number of binding sites
: Most motif discovery algorithms from DNA sequences require the motif's length as input. Styczynski et al. introduced the Extended (l,d)-Motif Problem (EMP) where the motif&#...
Henry C. M. Leung, Francis Y. L. Chin
143
Voted
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 8 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
15 years 11 months ago
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
Lei Shi, Vandana Pursnani Janeja