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  1. Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence (IEA/AIE'11)
  2. Image retrieval algorithm based on enhanced relational graph
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Classification model for data streams based on similarity
Fault diagnosis in power networks with hybrid Bayesian networks and wavelets
Basic object oriented genetic programming
A global unsupervised data discretization algorithm based on collective correlation coefficient
Automating the selection of stories for AI in the news
Image region segmentation based on color coherence quantization
Factoring web tables
Towards a computational model of the self-attribution of agency
Stairway detection based on single camera by motion stereo
Comparison of artificial neural networks and dynamic principal component analysis for fault diagnosis
Learning temporal Bayesian networks for power plant diagnosis
Inferring border crossing intentions with hidden Markov models
A heuristic data-sanitization approach based on TF-IDF
Diagnosability study of technological systems
Image retrieval algorithm based on enhanced relational graph
Document analysis research in the year 2021
An agent model for computational analysis of mirroring dysfunctioning in autism spectrum disorders
Robot with two ears listens to more than two simultaneous utterances by exploiting harmonic structures
Comparative behaviour of recent incremental and non-incremental clustering methods on text: an extended study
On the fusion of probabilistic networks
A framework for autonomous search in the $Ecl^{i}ps^{e}solver$
Discovering patterns for prognostics: a case study in prognostics of train wheels
Using ensembles of regression trees to monitor lubricating oil quality
Prediction-oriented dimensionality reduction of industrial data sets
Markov logic networks for document layout correction
Multi-modal biometric emotion recognition using classifier ensembles
Multimodal representations, indexing, unexpectedness and proteins
Informative sentence retrieval for domain specific terminologies
Extracting general lists from web documents: a hybrid approach
Towards a fully computational model of web-navigation
A generic approach for mining indirect association rules in data streams
Status quo bias in configuration systems
Improvement and estimation of prediction accuracy of soft sensor models based on time difference
Network defense strategies for maximization of network survivability
PryGuard: a secure distributed authentication protocol for pervasive computing environment

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Image retrieval algorithm based on enhanced relational graph

Content Provider ACM Digital Library
Author Zhang, Yao Yang, Yu-Bin Li, Ning He, Guang-Nan
Abstract The "semantic gap" problem is one of the main difficulties in image retrieval task. Semi-supervised learning is an effective methodology proposed to narrow down the gap, which is also often integrated with relevance feedback techniques. However, in semi-supervised learning, the amount of unlabeled data is usually much greater than that of labeled data. Therefore, the performance of a semi-supervised learning algorithm relies heavily on how effective it uses the relationship between the labeled and unlabeled data. A novel algorithm is proposed in this paper to enhance the relational graph built on the entire data set, expected to increase the intra-class weights of data while decreasing the inter-class weights and linking the potential intra-class data. The enhanced relational matrix can be directly used in any semi-supervised learning algorithm. The experimental results in feedback-based image retrieval tasks show that the proposed algorithm performs much better compared with other algorithms in the same semi-supervised learning framework.
Starting Page 220
Ending Page 231
Page Count 12
ISBN 9783642218217
ISSN 03029743
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-06-28
Publisher Place Berlin, Heidelberg
Access Restriction Subscribed
Subject Keyword Relevance feedback Image retrieval Graph embedding Manifold learning
Content Type Text
Resource Type Article
Subject Theoretical Computer Science Computer Science
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