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» Exploiting Unlabeled Data in Content-Based Image Retrieval
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WSDM
2010
ACM
266views Data Mining» more  WSDM 2010»
14 years 2 months ago
Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity
Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
Bilyana Taneva, Mouna Kacimi, Gerhard Weikum
DIS
2009
Springer
13 years 12 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
MMM
2006
Springer
107views Multimedia» more  MMM 2006»
13 years 11 months ago
History-based visual mining of semi-structured audio and text
Accessing specific or salient parts of multimedia recordings remains a challenge as there is no obvious way of structuring and representing a mix of space-based and timebased med...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...
MUE
2007
IEEE
190views Multimedia» more  MUE 2007»
13 years 11 months ago
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, ...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
ICDE
2000
IEEE
161views Database» more  ICDE 2000»
13 years 9 months ago
Efficient Query Refinement in Multimedia Databases
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects...
Kaushik Chakrabarti, Kriengkrai Porkaew, Sharad Me...