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113
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ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
105
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
105
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Abstract. We present an approach to determine the category and location of objects in images. It performs very fast categorization of each pixel in an image, a brute-force approach...
120
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
108
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Abstract. Traditionally, distinguishing between high quality professional photos and low quality amateurish photos is a human task. To automatically assess the quality of a photo t...