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VIIP
2001
15 years 5 months ago
3-D Haar Wavelet Transformation and Texture-based 3-D Reconstruction of Biomedical Data Sets
Enhanced biomedical image scanning technology and growing network accessibility have created a need for faster and more efficient data exchange over the Internet and in closed net...
Pujita Pinnamaneni, Sagar Saladi, Joerg Meyer
VLDB
2009
ACM
182views Database» more  VLDB 2009»
16 years 4 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine
HAIS
2009
Springer
15 years 8 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
MICCAI
2007
Springer
15 years 10 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 9 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...