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» Local Pattern Detection and Clustering
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CVPR
1999
IEEE
15 years 3 days ago
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues
We treat the problem of edge detection as one of statistical inference. Local edge cues, implemented by filters, provide information about the likely positions of edges which can ...
Scott Konishi, Alan L. Yuille, James M. Coughlan, ...
ICCCN
2007
IEEE
14 years 4 months ago
Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach
—Motivated by the fact that most of the existing QoS service composition solutions have limited scalability, we develop a hierarchical-based solution framework to achieve scalabi...
Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrsted...
VISUALIZATION
2000
IEEE
14 years 2 months ago
Extracting regions of interest applying a local watershed transformation
In this paper, we present a new technique for extracting regions of interest (ROI) applying a local watershed transformation. The proposed strategy for computing catchment basins ...
Stanislav L. Stoev, Wolfgang Straßer
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 10 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
TIP
2008
125views more  TIP 2008»
13 years 10 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte