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2020年2月29日のブックマーク (3件)

  • Suffix Array - Qiita

    これは「データ構造とアルゴリズム Advent Calendar 2018」9日目の記事です. はじめに Suffix array1 はよく知られたデータ構造のひとつです.1990年に提案2されて以来,その使われ方は多岐にわたります.記事では,この suffix array の基事項として, suffix array とは何か suffix array を全文索引として用いる方法 を紹介したいと思います. パターンマッチングと全文索引 パターンマッチング とは,文字列 $T$ から,パターンと呼ばれる文字列 $P$ を探す問題です.たとえば, $T =$ 麒麟鼬蝙蝠駱駝蝦蟇鼈樹懶鼠膃肭臍羆狒狒鰐麒麟猩猩鼠鼠鼠鼠鼠蟒蛇鼈鼬羆蜥蜴駱駝羆麒麟鼈鼬狒狒狒狒羆蝙蝠膃肭臍麒麟蝙蝠鼬蜥蜴鼬狒狒蝮樹懶鼬羆蝮膃肭臍麒麟羆駱駝蝙蝠蟒蛇狒狒蝙蝠樹懶鼈蜥蜴駱駝羆鼬羆樹懶犀鰐蝙蝠鼠狒狒蝦蟇鼬蜥蜴鼠蝮蝦蟇蜥蜴龍麒

    Suffix Array - Qiita
  • Regular Expression Search with Suffix Arrays

    But because the suffix array is sorted, we can find those entries efficiently by binary searching in the suffix array. The indexes then give us the location of the search string in the larger text. Towards Regular Expression Search  🔗︎ We begin with a large corpus of source code we want to do regular expression search over. During indexing, livegrep reads all of the source and flattens them toget

  • The Illustrated Self-Supervised Learning

    A visual introduction to self-supervised learning methods for visual representations. I first got introduced to self-supervised learning in a talk by Yann Lecun, where he introduced the “cake analogy” to illustrate the importance of self-supervised learning. In the talk, he said: “If intelligence is a cake, the bulk of the cake is self-supervised learning, the icing on the cake is supervised learn

    The Illustrated Self-Supervised Learning
    satojkovic
    satojkovic 2020/02/29
    Self supervised learning for computer vision