نتایج جستجو برای: euclidean metric
تعداد نتایج: 103263 فیلتر نتایج به سال:
Abstract The handy biometric data is a double-edged sword, paving the way of prosperity authentication systems but bringing personal privacy concern. To alleviate concern, various template protection schemes are proposed to protect from information leakage. preponderance existing proposals based on Hamming metric, which ignores fact that predominantly deployed recognition (e.g. face, voice, gai...
The theory of sparse graph limits concerns itself with versions of local convergence and global convergence, see e.g. [41]. Informally, in local convergence we look at a large neighborhood around a random uniformly chosen vertex in a graph and in global convergence we observe the whole graph from afar. In this note rather than surveying the general theory we will consider some concrete examples...
Many algorithms in machine learning, pattern recognition, and data mining are based on a similarity/distance measure. For example, the kNN classifier and clustering algorithms such as k-means require a similarity/distance function. Also, in Content-Based Information Retrieval (CBIR) systems, we need to rank the retrieved objects based on the similarity to the query. As generic measures such as ...
Non-metric dissimilarity measures may arise in practice e.g. when objects represented by sensory measurements or by structural descriptions are compared. It is an open issue whether such non-metric measures should be corrected in some way to be metric or even Euclidean. The reason for such corrections is the fact that pairwise metric distances are interpreted in metric spaces, while Euclidean d...
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