Submitted to Advances in Neural Information Processing Systems ( NIPS ) 8
نویسندگان
چکیده
The softassign quadratic assignment algorithm has recently emerged as an eeective strategy for a variety of optimization problems in pattern recognition and combina-torial optimization. While the eeectiveness of the algorithm was demonstrated in thousands of simulations, there was no known proof of convergence. Here, we provide a proof of convergence for the most general form of the algorithm.
منابع مشابه
Biologically-Inspired Cognitive Architecture for Integrated Learning, Action and Perception (BICA-LEAP)
s/Presentations/Posters/Conference Proceedings Khosla D.,&Moore C.,et al. Online visual attention and recognition, submitted to SPIE Defense and Security Symposium Khosla D.& Moore C. et al. A bio-inspired system for Spatio-temporal Recognition in Static and Video Imagery, submitted to SPIE Defense and Security Symposium. Itti L., Dhavale N.,& Pighin F. Photorealistic attention-based gaze anima...
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