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» First vs. best improvement: An empirical study
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ECIR
2009
Springer
14 years 5 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
CHI
2002
ACM
14 years 9 months ago
Statistical profiles of highly-rated web sites
We are creating an interactive tool to help non-professional web site builders create high quality designs. We have previously reported that quantitative measures of web page stru...
Melody Y. Ivory, Marti A. Hearst
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 1 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
JIFS
2008
155views more  JIFS 2008»
13 years 8 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
EMNLP
2009
13 years 6 months ago
Chinese Semantic Role Labeling with Shallow Parsing
Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evaluate SRL methods that take partial parses as inputs. We fir...
Weiwei Sun, Zhifang Sui, Meng Wang, Xin Wang