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ICML
2004
IEEE
15 years 10 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
DMIN
2006
138views Data Mining» more  DMIN 2006»
14 years 11 months ago
Financial Time Series Segmentation based on Specialized Binary Tree Representation
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
Tak-Chung Fu, Fu-Lai Chung, Chak-man Ng
ICIP
2007
IEEE
15 years 11 months ago
Analysis of the Decoding-Complexity of Compressed Image-Based Scene Representations
Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques,...
Ingo Bauermann, Eckehard G. Steinbach
KDD
2002
ACM
189views Data Mining» more  KDD 2002»
15 years 10 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...
ICIP
2010
IEEE
14 years 7 months ago
Multiview image compression using a layer-based representation
We propose a novel compression method for multiview still images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers character...
Andriy Gelman, Pier Luigi Dragotti, Vladan Velisav...