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» Supervised feature selection via dependence estimation
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IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
DAC
2008
ACM
13 years 9 months ago
IntellBatt: towards smarter battery design
Battery lifetime and safety are primary concerns in the design of battery operated systems. Lifetime management is typically supervised by the system via battery-aware task schedu...
Suman Kalyan Mandal, Praveen Bhojwani, Saraju P. M...
SI3D
2006
ACM
14 years 1 months ago
Multi-scale line drawings from 3D meshes
We present an effective method for automatically selecting the appropriate scale of shape features that are depicted when rendering a 3D mesh in the style of a line drawing. The m...
Alex Ni, Kyuman Jeong, Seungyong Lee, Lee Markosia...
IJRR
2011
159views more  IJRR 2011»
13 years 2 months ago
Learning visual representations for perception-action systems
We discuss vision as a sensory modality for systems that effect actions in response to perceptions. While the internal representations informed by vision may be arbitrarily compl...
Justus H. Piater, Sébastien Jodogne, Renaud...
ICCV
2005
IEEE
14 years 29 days ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...