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BILDMED
2008
123views Algorithms» more  BILDMED 2008»
15 years 8 months ago
Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
Abstract. We present an approach based on clustering to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
Frank Zöllner, Jan Ankar Monnsen, Arvid Lunde...
DMIN
2006
120views Data Mining» more  DMIN 2006»
15 years 8 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
TKDE
2002
133views more  TKDE 2002»
15 years 6 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
TVLSI
2010
15 years 1 months ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien
ICCD
2003
IEEE
145views Hardware» more  ICCD 2003»
16 years 3 months ago
Care Bit Density and Test Cube Clusters: Multi-Level Compression Opportunities
: Most of the recently discussed and commercially introduced test stimulus data compression techniques are based on low care bit densities found in typical scan test vectors. Data ...
Bernd Könemann