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» Learning with Constrained and Unlabelled Data
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ACL
2004
13 years 11 months ago
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...
MM
2010
ACM
174views Multimedia» more  MM 2010»
13 years 10 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
ICCV
2009
IEEE
13 years 7 months ago
A robust boosting tracker with minimum error bound in a co-training framework
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
Rong Liu, Jian Cheng, Hanqing Lu
ACL
2012
12 years 7 days ago
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou
AAAI
2006
13 years 11 months ago
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...