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FLAIRS
2004
15 years 6 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
161
Voted
ICMCS
2006
IEEE
152views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Muli-Issue Multi-Threaded Stream Processor
The MISP Processor is a programmable media processor which supports multi-issuing, multi-threading and stream processing techniques. MISP executes applications that have been mapp...
Somayeh Sardashti, Hamid Reza Ghasemi, Omid Fatemi
PVM
2007
Springer
15 years 11 months ago
Using CMT in SCTP-Based MPI to Exploit Multiple Interfaces in Cluster Nodes
Many existing clusters use inexpensive Gigabit Ethernet and often have multiple interfaces cards to improve bandwidth and enhance fault tolerance. We investigate the use of Concurr...
Brad Penoff, Mike Tsai, Janardhan R. Iyengar, Alan...
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
15 years 11 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
153
Voted
SNPD
2010
15 years 6 months ago
Explaining Classification by Finding Response-Related Subgroups in Data
Abstract--A method for explaining results of a regressionbased classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found ...
Elina Parviainen, Aki Vehtari