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ICWSM
2008
13 years 11 months ago
Extracting Topics and Innovators Using Topic Diffusion Process in Weblogs
The diffusion process on weblogs has attracted great interest since the early days of weblog studies. We propose a ranking technique which extracts topics and innovators by analyz...
Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Ko...
ICIP
2010
IEEE
13 years 8 months ago
Edge-adaptive image segmentation based on seam processing and K-Means clustering
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
ICASSP
2011
IEEE
13 years 2 months ago
A space time array processing for passive geolocalization of radio transmitters
The problem of passive localization is commonly solved by independently measuring intermediate parameters (such as angles of arrival (AOA), times of arrival (TOA)...) on several m...
Jonathan Bosse, Anne Ferréol, Pascal Larzab...
ICASSP
2009
IEEE
14 years 5 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Tse-Wei Chen, Shao-Yi Chien
ACCV
2010
Springer
13 years 5 months ago
One-Class Classification with Gaussian Processes
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
Michael Kemmler, Erik Rodner, Joachim Denzler