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ICCV
2003
IEEE
14 years 11 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
ICDAR
2009
IEEE
14 years 3 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
14 years 3 months ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
INFOCOM
2006
IEEE
14 years 3 months ago
Improving Lookup Performance Over a Widely-Deployed DHT
— During recent years, Distributed Hash Tables (DHTs) have been extensively studied by the networking community through simulation and analysis, but until recently were not adopt...
Daniel Stutzbach, Reza Rejaie
IEEEPACT
2005
IEEE
14 years 2 months ago
Communication Optimizations for Fine-Grained UPC Applications
Global address space languages like UPC exhibit high performance and portability on a broad class of shared and distributed memory parallel architectures. The most scalable applic...
Wei-Yu Chen, Costin Iancu, Katherine A. Yelick