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NIPS
2008
14 years 11 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
CORR
2006
Springer
90views Education» more  CORR 2006»
14 years 9 months ago
On entropy for mixtures of discrete and continuous variables
Let X be a discrete random variable with support S and f : S S be a bijection. Then it is wellknown that the entropy of X is the same as the entropy of f(X). This entropy preserva...
Chandra Nair, Balaji Prabhakar, Devavrat Shah
78
Voted
CVPR
2007
IEEE
15 years 11 months ago
Seamless Mosaicing of Image-Based Texture Maps
Image-based object modeling has emerged as an important computer vision application. Typically, the process starts with the acquisition of the image views of an object. These view...
Victor S. Lempitsky, Denis V. Ivanov
122
Voted
ICIP
2005
IEEE
15 years 11 months ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes
DAC
2007
ACM
15 years 10 months ago
Synthesizing Stochasticity in Biochemical Systems
Randomness is inherent to biochemistry: at each instant, the sequence of reactions that fires is a matter of chance. Some biological systems exploit such randomness, choosing betw...
Brian Fett, Jehoshua Bruck, Marc D. Riedel