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ICIP
2006
IEEE
14 years 9 months ago
Robust Object Detection using Fast Feature Selection from Huge Feature Sets
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...
Duy-Dinh Le, Shin'ichi Satoh
ICCV
2007
IEEE
14 years 9 months ago
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller
DICTA
2008
13 years 9 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
PERCOM
2011
ACM
12 years 11 months ago
Using prediction to conserve energy in recognition on mobile devices
—As devices are expected to be aware of their environment, the challenge becomes how to accommodate these abilities with the power constraints which plague modern mobile devices....
Dawud Gordon, Stephan Sigg, Yong Ding, Michael Bei...
JSYML
2008
78views more  JSYML 2008»
13 years 7 months ago
Closed maximality principles: implications, separations and combinations
I investigate versions of the Maximality Principles for the classes of forcings which are <-closed, <-directed-closed, or of the form Col(, < ). These principles come in ...
Gunter Fuchs