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ICIP
2005
IEEE
16 years 4 months ago
Non-parametric image super-resolution using multiple images
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
BCSHCI
2008
15 years 3 months ago
Can technology-rich spaces support multiple uses?
A number of technology-rich spaces have been designed and created over the last few years with the purpose of supporting and enhancing learning, collaboration, community participa...
Nadia Pantidi, Hugh Robinson, Yvonne Rogers
NIPS
2004
15 years 3 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton
ICASSP
2010
IEEE
15 years 2 months ago
Sparse signal recovery in the presence of correlated multiple measurement vectors
Sparse signal recovery algorithms utilizing multiple measurement vectors (MMVs) are known to have better performance compared to the single measurement vector case. However, curre...
Zhilin Zhang, Bhaskar D. Rao
CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 2 months ago
On the Stability of Empirical Risk Minimization in the Presence of Multiple Risk Minimizers
Abstract--Recently Kutin and Niyogi investigated several notions of algorithmic stability--a property of a learning map conceptually similar to continuity--showing that training-st...
Benjamin I. P. Rubinstein, Aleksandr Simma