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» A Model Selection Approach for Local Learning
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EMMCVPR
2005
Springer
15 years 3 months ago
Deformable-Model Based Textured Object Segmentation
Abstract. In this paper, we present a deformable-model based solution for segmenting objects with complex texture patterns of all scales. The external image forces in traditional d...
Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris N. M...
CVPR
2008
IEEE
16 years 1 days ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
BMCBI
2008
165views more  BMCBI 2008»
14 years 10 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
ER
2006
Springer
89views Database» more  ER 2006»
15 years 1 months ago
A UML Profile for Modeling Schema Mappings
When trying to obtain semantical interoperability between different information systems, the integration of heterogeneous information sources is a fundamental task. An important st...
Stefan Kurz, Michael Guppenberger, Burkhard Freita...
ICML
2006
IEEE
15 years 10 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp