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ICDM
2010
IEEE
128views Data Mining» more  ICDM 2010»
14 years 7 months ago
User-Based Active Learning
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
Christin Seifert, Michael Granitzer
86
Voted
TIP
2008
185views more  TIP 2008»
14 years 9 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
ICIP
2004
IEEE
15 years 11 months ago
Multi-label SVM active learning for image classification
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
Xuchun Li, Lei Wang, Eric Sung
ICINCO
2004
165views Robotics» more  ICINCO 2004»
14 years 11 months ago
Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping
: We present a vision-based robotic system which uses a combination of several active sensing strategies to grip a free-standing small target object with an initially unknown posit...
Benjamin Deutsch, Frank Deinzer, Matthias Zobel, J...
IJKL
2010
105views more  IJKL 2010»
14 years 4 months ago
Lurking: a challenge or a fruitful strategy? A comparison between lurkers and active participants in an online corporate communi
: For todays organisations to obtain competitive advantages, online corporate Communities of Practice (CoPs) are indispensable. However, often the majority of its participants does...
Mirjam Neelen, Sibren Fetter