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JMLR
2010
151views more  JMLR 2010»
14 years 5 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
EDBT
2011
ACM
203views Database» more  EDBT 2011»
14 years 2 months ago
QueryViz: helping users understand SQL queries and their patterns
We present QueryViz, a novel visualization tool for SQL queries that reduces the time needed to read and understand existing queries. It targets two principal audiences: (i) users...
Jonathan Danaparamita, Wolfgang Gatterbauer
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...
CVPR
2009
IEEE
16 years 6 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
CVPR
2008
IEEE
16 years 1 months ago
A bi-illuminant dichromatic reflection model for understanding images
This paper presents a new model for understanding the appearance of objects that exhibit both body and surface reflection under realistic illumination. Specifically, the model rep...
Bruce A. Maxwell, Richard M. Friedhoff, Casey A. S...