图 书 馆开课单位--加利福尼亚大学
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51Content-based Document Routing and Index Partitioning for Scalable Similarity-based Searches in a Large Corpus [基于内容的文档路由和索引分区在大型语料库中的可扩展相似性搜索 ]
Deepavali Bhagwat(加利福尼亚大学) We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case ...
热度：20
Deepavali Bhagwat(加利福尼亚大学) We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case ...
热度：20
52Multimedia Semantic Web[多媒体语义Web]
Ramesh Jain(加利福尼亚大学 ) The Capture, Storage, Sharing, Organizing, Retrieval, and Use of knowledge dominate most socio-economic activities in our society. Most of the knowled...
热度：41
Ramesh Jain(加利福尼亚大学 ) The Capture, Storage, Sharing, Organizing, Retrieval, and Use of knowledge dominate most socio-economic activities in our society. Most of the knowled...
热度：41
53Fast Nearest Neighbor Retrieval for Bregman Divergences[布雷格曼发散的快速最近邻检索]
Lawrence Cayton(加利福尼亚大学) We present a data structure enabling efficient NN retrieval for bregman divergences. The family of bregman divergences includes many popular dissimila...
热度：75
Lawrence Cayton(加利福尼亚大学) We present a data structure enabling efficient NN retrieval for bregman divergences. The family of bregman divergences includes many popular dissimila...
热度：75
54Non-Isometric Manifold Learning: Analysis and an Algorithm[非等距流形学习：分析与算法]
Piotr Dollár(加利福尼亚大学) In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or "u...
热度：84
Piotr Dollár(加利福尼亚大学) In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or "u...
热度：84
55Manifold Blurring Mean Shift Algorithms for Manifold Denoising[流形去噪的流形模糊均值漂移算法]
Miguel Á. Carreira-Perpiñán(加利福尼亚大学) We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-s...
热度：44
Miguel Á. Carreira-Perpiñán(加利福尼亚大学) We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-s...
热度：44