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CVPR
2007
IEEE
16 years 9 months ago
Color Constancy using Natural Image Statistics
Although many color constancy methods exist, they are all based on specific assumptions such as the set of possible light sources, or the spatial and spectral characteristics of i...
Arjan Gijsenij, Theo Gevers
CVPR
2010
IEEE
16 years 3 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell
ICIG
2009
IEEE
16 years 1 months ago
A PLSA-Based Semantic Bag Generator with Application to Natural Scene Classification under Multi-instance Multi-label Learning F
Classifying natural scenes into semantic categories has always been a challenging task. So far, many works in this field are primarily intended for single label classification, wh...
Shuangping Huang, Lianwen Jin
ATAL
2009
Springer
16 years 1 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
PG
2007
IEEE
16 years 1 months ago
Automatic Natural Video Matting with Depth
Video matting is the process of taking a sequence of frames, isolating the foreground, and replacing the background with something different in each frame. This is an under-constr...
Oliver Wang, Jonathan Finger, Qingxiong Yang, Jame...