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» Unsupervised Clustering In Streaming Data
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ISBI
2008
IEEE
15 years 4 months ago
Unsupervised segmentation of cell nuclei using geometric models
Fluorescent microscopy of biological samples allows noninvasive screening of specific molecular events in-situ. This approach is useful for investigating intricate signalling path...
Shaun Fitch, Trevor Jackson, Peter Andras, Craig R...
APWEB
2010
Springer
15 years 1 months ago
Multiple Continuous Queries Optimization for Processing RFID Streaming Data
This paper investigates the problem of processing multiple continuous queries over RFID streaming data in RFID middleware. RFID middleware collects and filters RFID sensing data wh...
Haipeng Zhang, Wooseok Ryu, Yongxu Piao, Bonghee H...
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
14 years 11 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
MMSEC
2006
ACM
220views Multimedia» more  MMSEC 2006»
15 years 4 months ago
Robust blind watermarking mechanism for motion data streams
The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Moca...
Parag Agarwal, Ketaki Adi, B. Prabhakaran
CVPR
2010
IEEE
15 years 1 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...