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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
BIS
2008
114views Business» more  BIS 2008»
13 years 10 months ago
Determining Relevant Deep Web Sites by Query Context Identification
Deep web search requires a transformation between search keywords and semantically described and well-formed data structures. We approached this problem in our "In the Web of ...
Zsolt Tivadar Kardkovács, Domonkos Tikk
CVPR
2008
IEEE
14 years 10 months ago
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
The use of 3-D ultrasound data has several advantages over 2-D ultrasound for fetal biometric measurements, such as considerable decrease in the examination time, possibility of p...
Gustavo Carneiro, Fernando Amat, Bogdan Georgescu,...
CIKM
2009
Springer
14 years 3 months ago
Event detection from flickr data through wavelet-based spatial analysis
Detecting events from web resources has attracted increasing research interests in recent years. Our focus in this paper is to detect events from photos on Flickr, an Internet ima...
Ling Chen, Abhishek Roy
CIKM
2005
Springer
14 years 2 months ago
Novelty detection based on sentence level patterns
The detection of new information in a document stream is an important component of many potential applications. In this paper, a new novelty detection approach based on the identi...
Xiaoyan Li, W. Bruce Croft