Titlebook: Information Retrieval Technology; Second Asia Informat Gary Geunbae Lee,Akio Yamada,Sung Hyon Myaeng Conference proceedings 2005 Springer-V

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小說

Improved Concurrency Control Technique with Lock-Free Querying for Multi-dimensional Index Structurekloads due to frequent updates for storing location of moving object, the variants of R-tree structure cannot provide the real-time response. Because query processing is frequently blocked by node-split or region propagation as the locations of objects change. This paper improves the query performan

運動性

A Color-Based Image Retrieval Method Using Color Distribution and Common Bitmapstandard deviation, of an image as global information for image retrieval. Furthermore, this paper uses the common bitmap to represent the local characteristics of the image. The performance of the method is tested on three different image databases consisting of 410, 235, and 10,235 images. The thi

預知

A Probabilistic Model for Music Recommendation Considering Audio Featuresrs or items based on user historical ratings. Despite the valuable information from audio features of music itself, however, few studies have investigated how to directly extract and utilize information from music for personalized recommendation in CMRS. In this paper, we describe a CMRS based on ou

Throttle

VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrievalg and retrieval of large medical image databases, we propose a structured framework for designing and learning vocabularies of meaningful medical terms associated with visual appearance from image samples. These VisMed terms span a new feature space to represent medical image contents. After a multi

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無意

Extracting the Significant Terms from a Sentence-Term Matrix by Removal of the Noise in Term Usagecomposition (SVD) and principal component analysis (PCA). The SVD can remove the noise of variability in term usage of an original sentence-term matrix by using the singular values acquired after computing the SVD. This adjusted sentence-term matrix, which have removed its noisy usage of terms, can

oblique

Cross Document Event Clustering Using Knowledge Mining from Co-reference Chainsain edit distance to mine controlled vocabulary from cross-document co-reference chains incrementally. A novel threshold model that incorporates time decay function and spanning window utilizes the controlled vocabulary for event clustering on streaming news. The experimental results show that the p

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Jacket