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» Perturbation based Large Margin Approach for Ranking
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ICWSM
2009
13 years 5 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
KDD
2005
ACM
182views Data Mining» more  KDD 2005»
14 years 8 months ago
Making holistic schema matching robust: an ensemble approach
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...
Bin He, Kevin Chen-Chuan Chang
ICCV
2011
IEEE
12 years 7 months ago
The Power of Comparative Reasoning
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 9 months ago
Distributed Structural Relaxation of XPath Queries
Due to the structural heterogeneity of XML, queries are often interpreted approximately. This is achieved by relaxing the query and ranking the results based on their relevance to ...
Georgia Koloniari, Evaggelia Pitoura
ISBI
2009
IEEE
14 years 2 months ago
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation
We present an efficient image categorization and retrieval system applied to medical image databases, in particular large radiograph archives. The methodology presented is based ...
Uri Avni, Hayit Greenspan, Michal Sharon, Eli Kone...