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DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 11 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
ICCV
2011
IEEE
12 years 9 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 3 months ago
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
The problem of record linkage focuses on determining whether two object descriptions refer to the same underlying entity. Addressing this problem effectively has many practical ap...
Mikhail Bilenko, Sugato Basu, Mehran Sahami
ARCS
2005
Springer
14 years 3 months ago
Self-Organizing, Adaptive Data Fusion for 3d Object Tracking
Data fusion concepts are a necessary basis for utilizing complex networks of sensors. A key feature for a robust data fusion system is adaptivity, both to be fault-tolerant and to...
Olaf Kähler, Joachim Denzler
IS
2006
13 years 9 months ago
Adaptive cycle management in soft real-time disk retrieval
The objective of this study is to determine the right cycle management policy to service periodic soft real-time disk retrieval. Cycle based disk scheduling provides an effective ...
Youjip Won, Ilhoon Shin, Kern Koh