Several different uses of Newton's method in connection with the Fundamental Theorem of Algebra are pointed out. Theoretical subdivision schemes have been combined with the n...
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
The development of mobile-based image retrieval system is required for the efficient management about various image data with fast growth of mobile devices. The resource of mobil...
Junyeong Yang, Sanghyuk Park, Hacheon Seong, Hyera...
—Seamless IP mobility protocols like Fast Mobile IPv6 (FMIPv6) requires the knowledge of candidate access routers, to which the mobile node will hand over its connection to, well...
Faqir Zarrar Yousaf, Christian Muller, Christian W...
Abstract. Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the ...