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» Image Retrieval and Annotation Using Maximum Entropy
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CVPR
2010
IEEE
14 years 3 months ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik
MM
2010
ACM
198views Multimedia» more  MM 2010»
13 years 7 months ago
Analyzing and predicting sentiment of images on the social web
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...
Stefan Siersdorfer, Enrico Minack, Fan Deng, Jonat...
CVPR
2003
IEEE
14 years 9 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
CIVR
2009
Springer
229views Image Analysis» more  CIVR 2009»
14 years 2 months ago
A human-machine collaborative approach to tracking human movement in multi-camera video
Although the availability of large video corpora are on the rise, the value of these datasets remain largely untapped due to the difficulty of analyzing their contents. Automatic ...
Philip DeCamp, Deb Roy
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
14 years 24 days ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...