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» Convex Methods for Transduction
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PAMI
2010
200views more  PAMI 2010»
13 years 6 months ago
Learning Context-Sensitive Shape Similarity by Graph Transduction
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu...
CVPR
2008
IEEE
14 years 9 months ago
Transductive object cutout
In this paper, we address the issue of transducing the object cutout model from an example image to novel image instances. We observe that although object and background are very ...
Jingyu Cui, Qiong Yang, Fang Wen, Qiying Wu, Chang...
ICML
2007
IEEE
14 years 8 months ago
Transductive regression piloted by inter-manifold relations
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...
BMCBI
2006
117views more  BMCBI 2006»
13 years 7 months ago
SigFlux: A novel network feature to evaluate the importance of proteins in signal transduction networks
Background: Measuring each protein's importance in signaling networks helps to identify the crucial proteins in a cellular process, find the fragile portion of the biology sy...
Wei Liu, Dong Li, Jiyang Zhang, Yunping Zhu, Fuchu...

Publication
197views
12 years 3 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...