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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICIP
2006
IEEE
16 years 6 months ago
Generalized Histogram Equalization Based on Local Characteristics
From time to time, state-of-the-art contrast enhancement algorithms face undesired drawbacks, like loss of tiny details, enhancement of image noise, occasional overenhancement, an...
Tzu-Cheng Jen, Sheng-Jyh Wang
WWW
2008
ACM
16 years 5 months ago
User behavior oriented web spam detection
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spa...
Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru
WWW
2007
ACM
16 years 5 months ago
P-TAG: large scale automatic generation of personalized annotation tags for the web
The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have ...
Paul-Alexandru Chirita, Stefania Costache, Wolfgan...
MOBIHOC
2006
ACM
16 years 4 months ago
Data storage placement in sensor networks
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces stora...
Bo Sheng, Qun Li, Weizhen Mao