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DL
1999
Springer
187views Digital Library» more  DL 1999»
14 years 1 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...
ADL
2000
Springer
265views Digital Library» more  ADL 2000»
14 years 1 months ago
Clustering and Identifying Temporal Trends in Document Databases
We introduce a simple and efficient method for clustering and identifying temporal trends in hyper-linked document databases. Our method can scale to large datasets because it ex...
Alexandrin Popescul, Gary William Flake, Steve Law...
CVPR
2009
IEEE
1289views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Bundling Features for Large Scale Partial-Duplicate Web Image Search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schem...
Zhong Wu (Tsinghua University), Qifa Ke (Microsoft...
DELOS
2000
13 years 10 months ago
Serendipitous Information Retrieval
The acquisition of information is generally thought to be deliberately sought using a search or query mechanism or by browsing or scanning an information space. People, however, f...
Elaine G. Toms
IJDAR
2008
136views more  IJDAR 2008»
13 years 9 months ago
Matching word images for content-based retrieval from printed document images
As large quantity of document images is getting archived by the digital libraries, there is a need for an efficient search strategies to make them available as per users informatio...
Million Meshesha, C. V. Jawahar