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ACL
2009
15 years 5 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
247
Voted
TOG
2012
237views Communications» more  TOG 2012»
13 years 10 months ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...
168
Voted
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
16 years 1 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
KBSE
2002
IEEE
16 years 11 days ago
Generating Test Data for Functions with Pointer Inputs
Generating test inputs for a path in a function with integer and real parameters is an important but difficult problem. The problem becomes more difficult when pointers are pass...
Srinivas Visvanathan, Neelam Gupta
CVPR
2008
IEEE
16 years 9 months ago
Intrinsic image decomposition with non-local texture cues
We present a method for decomposing an image into its intrinsic reflectance and shading components. Different from previous work, our method examines texture information to obtain...
Li Shen, Ping Tan, Stephen Lin