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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CVPR
2010
IEEE
1208views Computer Vision» more  CVPR 2010»
14 years 5 months ago
Visual Tracking Decomposition
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time....
Junseok Kwon (Seoul National University), Kyoung M...
ICASSP
2011
IEEE
13 years 21 days ago
CROWDMOS: An approach for crowdsourcing mean opinion score studies
MOS (mean opinion score) subjective quality studies are used to evaluate many signal processing methods. Since laboratory quality studies are time consuming and expensive, researc...
Flavio Ribeiro, Dinei A. F. Florêncio, Cha Z...
WABI
2009
Springer
127views Bioinformatics» more  WABI 2009»
14 years 3 months ago
Constructing Majority-Rule Supertrees
Background: Supertree methods combine the phylogenetic information from multiple partially-overlapping trees into a larger phylogenetic tree called a supertree. Several supertree ...
Jianrong Dong, David Fernández-Baca, Fred R...
CGF
2010
132views more  CGF 2010»
13 years 9 months ago
Hybrid Booleans
In this paper we present a novel method to compute Boolean operations on polygonal meshes. Given a Boolean expression over an arbitrary number of input meshes we reliably and effi...
Darko Pavic, Marcel Campen, Leif Kobbelt