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MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 25 days ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
JMM2
2008
107views more  JMM2 2008»
13 years 7 months ago
Finding Interesting Images in Albums using Attention
Commercial systems such as Flickr display interesting photos from their collection as an interaction mechanism for sampling the collection. It purely relies on social activity anal...
Karthikeyan Vaiapury, Mohan S. Kankanhalli
SIGIR
2008
ACM
13 years 7 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 1 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
CIKM
2005
Springer
14 years 1 months ago
Word sense disambiguation in queries
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
Shuang Liu, Clement T. Yu, Weiyi Meng