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IJCAI
2007
15 years 3 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
111
Voted
INFSOF
2006
120views more  INFSOF 2006»
15 years 2 months ago
A comparison of two approaches to utilizing XML in parametric databases for temporal data
The parametric data model captures an object in terms of a single tuple. This feature eliminates unnecessary self-join operations to combine tuples scattered in a temporal relatio...
Seo-Young Noh, Shashi K. Gadia
ICPR
2000
IEEE
16 years 3 months ago
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
The decrease in the volume of viable tumor is an indicator for the effect preoperative chemotherapy has on bone tumors. We develop an approach for segmenting dynamic perfusionMR-i...
Michael Egmont-Petersen, Alejandro F. Frangi, Wiro...
VISUALIZATION
1995
IEEE
15 years 6 months ago
Iconic Techniques for Feature Visualization
This paper presents a conceptual framework and a process model for feature extraction and iconic visualization. Fearaction is viewed as a process of data abstraction, which can pr...
Frank J. Post, Theo van Walsum, Frits H. Post, Deb...
CVPR
2006
IEEE
15 years 8 months ago
Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping
Anatomical features on cortical surfaces are usually represented by landmark curves, called sulci/gyri curves. These landmark curves are important information for neuroscientists ...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...