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ICPR
2004
IEEE
14 years 11 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
MICCAI
2004
Springer
14 years 10 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
ICML
2005
IEEE
14 years 10 months ago
Optimal assignment kernels for attributed molecular graphs
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
Andreas Zell, Florian Sieker, Holger Fröhlich...
WWW
2009
ACM
14 years 10 months ago
Deriving music theme annotations from user tags
Music theme annotations would be really beneficial for supporting retrieval, but are often neglected by users while annotating. Thus, in order to support users in tagging and to f...
Kerstin Bischoff, Claudiu S. Firan, Raluca Paiu
CHI
2009
ACM
14 years 10 months ago
FacetLens: exposing trends and relationships to support sensemaking within faceted datasets
Previous research has shown that faceted browsing is effective and enjoyable in searching and browsing large collections of data. In this work, we explore the efficacy of interact...
Bongshin Lee, Greg Smith, George G. Robertson, Mar...