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» Improving Recognition of Novel Input with Similarity
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SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
15 years 12 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
CVPR
2012
IEEE
13 years 2 months ago
Active image clustering: Seeking constraints from humans to complement algorithms
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Arijit Biswas, David W. Jacobs
VR
2002
IEEE
132views Virtual Reality» more  VR 2002»
15 years 4 months ago
Pop Through Button Devices for VE Navigation and Interaction
We present a novel class of virtual reality input devices that combine pop through buttons with 6 DOF trackers. Compared to similar devices that use conventional buttons, pop thro...
Robert C. Zeleznik, Joseph J. LaViola Jr., Daniel ...
JMLR
2010
100views more  JMLR 2010»
14 years 6 months ago
Discriminative Topic Segmentation of Text and Speech
We explore automated discovery of topicallycoherent segments in speech or text sequences. We give two new discriminative topic segmentation algorithms which employ a new measure o...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
CVPR
2008
IEEE
16 years 1 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung