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ECCV
2010
Springer
15 years 4 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
MICCAI
2006
Springer
16 years 4 months ago
A Comparison of Breast Tissue Classification Techniques
It is widely accepted in the medical community that breast tissue density is an important risk factor for the development of breast cancer. Thus, the development of reliable automa...
Arnau Oliver, Jordi Freixenet, Robert Marti, Reyer...
COMPSAC
2009
IEEE
15 years 1 months ago
Towards Usable Solutions to Graphical Password Hotspot Problem
Click based graphical passwords that use background images suffer from hot-spot problem. Previous graphical password schemes based on recognition of images do not have a sufficient...
Kemal Bicakci, Nart Bedin Atalay, Mustafa Yuceel, ...
MICCAI
2003
Springer
16 years 4 months ago
Extraction and Application of Expert Priors to Combine Multiple Segmentations of Human Brain Tissue
Abstract. This paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
ICCV
2005
IEEE
16 years 5 months ago
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Kristen Grauman, Trevor Darrell