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» Study of Challenges and Techniques in Large Scale Matching
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AAAI
2010
15 years 1 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
89
Voted
ECCV
2002
Springer
16 years 2 months ago
Shock-Based Indexing into Large Shape Databases
This paper examines issues arising in applying a previously developed edit-distance shock graph matching technique to indexing into large shape databases. This approach compares th...
Thomas B. Sebastian, Philip N. Klein, Benjamin B. ...
LREC
2010
188views Education» more  LREC 2010»
15 years 1 months ago
How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
Hai Zhao, Yan Song, Chunyu Kit
140
Voted
ECCV
2010
Springer
15 years 3 months ago
What does classifying more than 10,000 image categories tell us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
101
Voted
ICIAP
1995
ACM
15 years 4 months ago
Image Retrieval by Elastic Matching of User Sketches
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Alberto Del Bimbo, Pietro Pala