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» A Flexible Approach for Visual Data Mining
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ECCV
2010
Springer
13 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
MMM
2007
Springer
135views Multimedia» more  MMM 2007»
14 years 3 months ago
Ontology-Based Annotation of Paintings Using Transductive Inference Framework
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible retrieval of paintings. In this work, we employ the ontology of artistic concept...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain
BMVC
2010
13 years 7 months ago
Calibration of Non-Overlapping Cameras---Application to Vision-Based Robotics
Multi-camera systems are more and more used in vision-based robotics. An accurate extrinsic calibration is usually required. In most of cases, this task is done by matching featur...
Pierre Lébraly, Eric Royer, Omar Ait-Aider,...
BIBM
2009
IEEE
190views Bioinformatics» more  BIBM 2009»
13 years 7 months ago
A Fast, Semi-automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
Kevin Karsch, Qing He, Ye Duan
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
14 years 4 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...