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IVC
2008
69views more  IVC 2008»
14 years 11 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
FLAIRS
1998
15 years 1 months ago
An Intelligent Debriefing System for Situation Awareness Training
An option to ensure that operators of complex systems have adequate situation awareness (SA) to support decision making and action is to train them to acquire and maintain SA. Thi...
Ellen J. Bass, Samuel T. Ernst-Fortin, Phillip C. ...
CVPR
2003
IEEE
16 years 1 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
ICML
2005
IEEE
16 years 18 days ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
AIME
2009
Springer
15 years 27 days ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...