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» Relational Parametricity for Computational Effects
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126
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COLING
2010
14 years 11 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
CVPR
2005
IEEE
16 years 6 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
ECCV
2002
Springer
16 years 6 months ago
Sensitivity of Calibration to Principal Point Position
A common practice when carrying out self-calibration of a camera from one or more views is to start with a guess at the principal point. The general belief is that inaccuracies in...
Richard I. Hartley, Robert Kaucic
105
Voted
CHI
2001
ACM
16 years 5 months ago
Partitioning digital worlds: focal and peripheral awareness in multiple monitor use
Software today does not help us partition our digital worlds effectively. We must organize them ourselves. This field study of users of multiple monitors examines how people with ...
Jonathan Grudin
144
Voted
ICDCS
2009
IEEE
16 years 1 months ago
Protecting Neighbor Discovery Against Node Compromises in Sensor Networks
The neighborhood information has been frequently used by protocols such as routing in sensor networks. Many methods have been proposed to protect such information in hostile envir...
Donggang Liu