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ISBI
2009
IEEE
15 years 10 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
165
Voted
ISVC
2007
Springer
15 years 9 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
SIGIR
2004
ACM
15 years 9 months ago
Answer models for question answering passage retrieval
Answer patterns have been shown to improve the performance of open-domain factoid QA systems. Their use, however, requires either constructing the patterns manually or developing ...
Andrés Corrada-Emmanuel, W. Bruce Croft
131
Voted
CIKM
2005
Springer
15 years 5 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
CVPR
2006
IEEE
16 years 5 months ago
Hierarchical Procrustes Matching for Shape Retrieval
We introduce Hierarchical Procrustes Matching (HPM), a segment-based shape matching algorithm which avoids problems associated with purely global or local methods and performs wel...
Graham McNeill, Sethu Vijayakumar