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144
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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 9 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
119
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JMLR
2002
90views more  JMLR 2002»
15 years 3 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...
165
Voted
CVPR
2010
IEEE
15 years 11 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
123
Voted
WCRE
2008
IEEE
15 years 10 months ago
Data Model Reverse Engineering in Migrating a Legacy System to Java
Central to any legacy migration project is the translation of the data model. Decisions made here will have strong implications to the rest of the translation. Some legacy languag...
Mariano Ceccato, Thomas Roy Dean, Paolo Tonella, D...
149
Voted
MICCAI
2007
Springer
15 years 9 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...