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» Optimizing Learning in Image Retrieval
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BMVC
2010
13 years 7 months ago
Accounting for the Relative Importance of Objects in Image Retrieval
We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We p...
Sung Ju Hwang, Kristen Grauman
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
Jie Yu, Qi Tian
SIBGRAPI
2008
IEEE
14 years 3 months ago
A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...
NPL
2006
172views more  NPL 2006»
13 years 9 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Soft Region Correspondence Estimation for Graph-Theoretic Image Retrieval Using Quadratic Programming Approach
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
Chuech-Yu Li, Chiou-Ting Hsu