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» Ranking Retrieval Systems with Partial Relevance Judgements
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MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 1 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
HT
2009
ACM
13 years 6 months ago
Retrieving broken web links using an approach based on contextual information
In this short note we present a recommendation system for automatic retrieval of broken Web links using an approach based on contextual information. We extract information from th...
Juan Martinez-Romo, Lourdes Araujo
SIGIR
2008
ACM
13 years 8 months ago
Relevance assessment: are judges exchangeable and does it matter
We investigate to what extent people making relevance judgements for a reusable IR test collection are exchangeable. We consider three classes of judge: "gold standard" ...
Peter Bailey, Nick Craswell, Ian Soboroff, Paul Th...
CBMS
2004
IEEE
14 years 8 days ago
Partial Shape Matching of Spine X-Ray Shapes Using Dynamic Programming
The osteophyte shows only on some particular locations on the vertebra. This indicates that other locations on the vertebra shape contain that are not of interest hinder the spine...
Xiaoqian Xu, D. J. Lee, Sameer Antani, L. Rodney L...
ESWA
2008
127views more  ESWA 2008»
13 years 8 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...