{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","uuid":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","normalized_title":"智慧的疆界从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","isbns":["9787111778004","9787111695714"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":456,"navigation_url":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title_url":"https://workshop.closeclaw.top/ai/title/%E6%99%BA%E6%85%A7%E7%9A%84%E7%96%86%E7%95%8C%20%E4%BB%8E%E5%9B%BE%E7%81%B5%E6%9C%BA%E5%88%B0%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","page_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/search"},"page":{"printed_page":268,"pdf_page":283,"physical_index":283,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"c2f8750d712e7b638149e1e468e0fc7e15f2493850208770b6e109532a2873a1"},"chapter":"内容简介","content":"在一批风景照片中，提取出一组大小相同、位置随机的图像片段，譬如提取 1000 个 16×16 像素的源片段，再随机选定一个与源片段大小相同的目标片段，然后在这 1000 个源片段范围内，选取数量尽可能少的片段，使得每一个被选取的片段乘以适当的权重系数之后，叠加出与目标片段尽可能相似的新片段。\n\n菲尔德给出了解决这个问题的迭代算法，经过若干轮迭代后，被遴选出来的片段令人惊讶，基本上每个片段都处于照片上不同物体的边缘线，区别只在于方向不同，而无论目标片段是何种形状的图形，均可由这些线条构成。也就是说，计算机不仅知道复杂形状是由一些基本结构组成的，而且能够自己找出这些形状。菲尔德的稀疏编码算法的结果，与休伯尔和威泽尔视觉分层的生理学发现不谋而合！图 7-15 便是一个通过三个源片段叠加合成出一个新形状的例子。\n\n不仅图像存在这个规律，声音也同样存在。科学家从未标注的声音中发现了 20 种基本的声音结构，由这 20 种基本结构可以合成所有其他声音，如图 7-16 所示。\n\n268\n\n第三部分 第三波高潮","previous_page":267,"next_page":269}