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CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
CIKM
2009
Springer
14 years 2 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for different queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...
ECIR
2004
Springer
13 years 9 months ago
Identification of Relevant and Novel Sentences Using Reference Corpus
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu
ICANN
2011
Springer
12 years 11 months ago
Probabilistic Proactive Timeline Browser
We have developed a browser suitable for finding events from timelines, in particular from life logs and other timelines containing a familiar narrative. The system infers the rel...
Antti Ajanki, Samuel Kaski
ICIP
2005
IEEE
14 years 9 months ago
Semantic kernel learning for interactive image retrieval
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
Philippe Henri Gosselin, Matthieu Cord