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» Classification-based objective functions
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ECCV
2010
Springer
14 years 5 days ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
ICIP
2008
IEEE
16 years 11 days ago
On the security of non-forgeable robust hash functions
In many applications, it is often desirable to extract a consistent key from a multimedia object (e.g., an image), even when the object has gone through a noisy channel. For examp...
Qiming Li, Sujoy Roy
CANDC
2002
ACM
15 years 5 months ago
The impact of functional knowledge on sketching
Previous research investigating sketching processes during object visualisation and design has indicated that drawing occurs in a primarily part-by-part manner, whereby the compon...
Winger Tseng, Stephen A. R. Scrivener, Linden J. B...
CGF
2011
14 years 9 months ago
Contouring Discrete Indicator Functions
We present a method for calculating the boundary of objects from Discrete Indicator Functions that store 2material volume fractions with a high degree of accuracy. Although Marchi...
Josiah Manson, J. Smith, Scott Schaefer
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 9 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi