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» A Framework for Multiple-Instance Learning
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113
Voted
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 9 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
114
Voted
ILP
2007
Springer
15 years 7 months ago
A Phase Transition-Based Perspective on Multiple Instance Kernels
: This paper is concerned with relational Support Vector Machines, at the intersection of Support Vector Machines (SVM) and relational learning or Inductive Logic Programming (ILP)...
Romaric Gaudel, Michèle Sebag, Antoine Corn...
126
Voted
CVPR
2009
IEEE
16 years 8 months ago
Multiple Instance Feature for Robust Part-based Object Detection
Feature misalignment in object detection refers to the phenomenon that features which re up in some positive detection windows do not re up in other pos- itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
81
Voted
ML
1998
ACM
119views Machine Learning» more  ML 1998»
15 years 24 days ago
A Note on Learning from Multiple-Instance Examples
Avrim Blum, Adam Kalai
109
Voted
ICML
2001
IEEE
16 years 1 months ago
Multiple-Instance Learning of Real-Valued Data
Robert A. Amar, Daniel R. Dooly, Sally A. Goldman,...