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» Image Retrieval Using a Hierarchy of Clusters
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TMM
2002
140views more  TMM 2002»
13 years 7 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ICIP
2002
IEEE
14 years 9 months ago
Content-based image retrieval for digital mammography
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ACL
2006
13 years 9 months ago
Discriminating Image Senses by Clustering with Multimodal Features
We discuss Image Sense Discrimination (ISD), and apply a method based on spectral clustering, using multimodal features from the image and text of the embedding web page. We evalu...
Nicolas Loeff, Cecilia Ovesdotter Alm, David A. Fo...
ICPR
2006
IEEE
14 years 8 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
WWW
2009
ACM
14 years 8 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...