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NIPS
2008
13 years 10 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
CIMAGING
2009
184views Hardware» more  CIMAGING 2009»
13 years 9 months ago
Fast space-varying convolution and its application in stray light reduction
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...
Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan ...
CVPR
2010
IEEE
13 years 8 months ago
Sparse representation using nonnegative curds and whey
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, S...
RECSYS
2010
ACM
13 years 8 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
COMCOM
2008
95views more  COMCOM 2008»
13 years 8 months ago
CHESS: An application-aware space for enhanced scalable services in overlay networks
Abstract-- We introduce in this paper CHESS, an applicationaware space for enhanced scalable services in overlay networks. In this new space, the proximity of peers is determined a...
Mohammad Malli, Chadi Barakat, Walid Dabbous