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SIGKDD
2010
151views more  SIGKDD 2010»
13 years 6 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
SMA
2008
ACM
120views Solid Modeling» more  SMA 2008»
13 years 11 months ago
A generic and flexible framework for the geometrical and topological analysis of (algebraic) surfaces
We present a generic framework on a set of surfaces S in
Eric Berberich, Michael Sagraloff
SIGIR
2008
ACM
13 years 11 months ago
Personal vs non-personal blogs: initial classification experiments
We address the task of separating personal from non-personal blogs, and report on a set of baseline experiments where we compare the performance on a small set of features across ...
Erik Elgersma, Maarten de Rijke
COLING
2008
13 years 11 months ago
A Joint Information Model for N-Best Ranking
In this paper, we present a method for modeling joint information when generating n-best lists. We apply the method to a novel task of characterizing the similarity of a group of ...
Patrick Pantel, Vishnu Vyas
IPPS
2000
IEEE
14 years 3 months ago
Components Are from Mars
We advocate an approach towards the characterisation of components where their qualifications are deduced systematically from a small set of elementary assumptions. Using the chara...
Michel R. V. Chaudron, Edwin D. de Jong
DAC
2010
ACM
14 years 3 months ago
Representative path selection for post-silicon timing prediction under variability
The identification of speedpaths is required for post-silicon (PS) timing validation, and it is currently becoming timeconsuming due to manufacturing variations. In this paper we...
Lin Xie, Azadeh Davoodi
CVPR
2005
IEEE
15 years 1 months ago
Correspondence Expansion for Wide Baseline Stereo
We present a new method for generating large numbers of accurate point correspondences between two wide baseline images. This is important for structure-from-motion algorithms, wh...
Kevin L. Steele, Parris K. Egbert