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» Geometric Clustering Using the Information Bottleneck Method
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ICPR
2000
IEEE
15 years 2 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
ICIP
2009
IEEE
14 years 7 months ago
Footprint tracking and recognition using a pressure sensing floor
This paper presents an approach to clustering, tracking and recognizing footprints of a single subject from pressure data obtained using a pressure sensing floor. The proposed met...
Jiqing Zhang, Gang Qian, Assegid Kidané
FGIT
2011
Springer
13 years 9 months ago
Performance Evaluation of MapReduce Applications on Cloud Computing Environment, FutureGrid
This paper describes the result of performance evaluation of two kinds of MapReduce applications running in the FutureGrid: a data intensive application and a computation intensive...
Yunhee Kang, Geoffrey C. Fox
GEOINFO
2004
14 years 11 months ago
Automatic Geometric and Radiometric Registration of Landsat-TM Images Using Mutual Information
: This work is on development of a method for automatic registration of satellite images acquired on different dates, for both geometric and radiometric correction with respect to ...
José P. Queiroz-Neto, Mario Fernando Monten...
CIKM
2000
Springer
15 years 1 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee