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CVPR
2005
IEEE
16 years 5 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
BMCBI
2008
135views more  BMCBI 2008»
15 years 3 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
141
Voted
TKDE
2011
280views more  TKDE 2011»
14 years 10 months ago
Locally Consistent Concept Factorization for Document Clustering
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
Deng Cai, Xiaofei He, Jiawei Han
142
Voted
WASA
2009
Springer
132views Algorithms» more  WASA 2009»
15 years 10 months ago
Minimum-Latency Schedulings for Group Communications in Multi-channel Multihop Wireless Networks
Abstract. This paper is motivated by exploring the impact of the number of channels on the achievable communication latency for a specific communication task. We focus on how to u...
Peng-Jun Wan, Zhu Wang, Zhiyuan Wan, Scott C.-H. H...
ECCV
2010
Springer
15 years 8 months ago
Bilinear factorization via Augmented Lagrange Multipliers
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...