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» Classification-based objective functions
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118
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ECCV
2010
Springer
13 years 8 months 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
106
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ICIP
2008
IEEE
15 years 9 months 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
97
Voted
CANDC
2002
ACM
15 years 2 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...
172
Voted
CGF
2011
14 years 6 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
107
Voted
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 6 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