A Unified Optimization Based Learning Method for Image Retrieval * (2009)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-ying Ma, Changshui Zhang, Hong-jiang Zhang
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimization problem,...
Graph-Based Semi-Supervised Learning as a Generative Model (2008)
Jingrui He, Jaime Carbonell, Yan Liu
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method is essentially a...
Internet Traffic Prediction by W-Boost: Classification and Regression ∗ (2008)
Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic makes highly...
Generalized Manifold-Ranking-Based Image Retrieval (2008)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract—In this paper, we propose a general transductive learning framework named generalized manifold-ranking-based image retrieval (gMRBIR) for image retrieval. Comparing with an existing...
SYMMETRY FEATURE IN CONTENT-BASED IMAGE RETRIEVAL * (2008)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Changshui Zhang
In this paper, we first apply the theory of wallpaper groups to natural images and extract a novel feature to depict the symmetry property of natural images. The original proposed algorithm takes...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-ying Ma, Changshui Zhang
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by means of Markov random...
Manifold-Ranking Based Keyword Propagation for Image Retrieval * (2008)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-ying Ma, Hong-jiang Zhang, Changshui Zhang
In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary
Asymmetric Gradient Boosting with Application to Spam Filtering (2008)
In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from different classes, and in...
A Boosting-based Framework for Self-similar and Non-linear (2008)
Hanghang Tong, Chongrong Li, Jingrui He
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic makes highly...
Jingrui He, Mingjing Li, Zhiwei Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract. To improve the precision of top-ranked images returned by a web image search engine, we propose in this paper a novel pseudo relevance feedback method named iterative probabilistic...
Graph-Based Semi-Supervised Learning as a Generative Model (2008)
Jingrui He, Jaime Carbonell, Yan Liu
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method is essentially a...
the de-novo case (no labeled examples), but of significant practical importance for data mining- e.g. detecting new financial transaction fraud patterns, where normal legitimate transactions...
the de-novo case (no labeled examples), but of significant practical importance for data mining- e.g. detecting new financial transaction fraud patterns, where normal legitimate transactions...
Hanghang Tong, Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos Fast, Hanghang Tong, ...
Zhang. Manifold-Ranking Based Keyword Propagation for Image Retrieval. EURASIP
Manifold-Ranking-Based Keyword Propagation for Image Retrieval (2006)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang
A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each...
Learning no-reference quality metric by examples (2005)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Changshui Zhang, Jingrui He, Wei-ying Ma
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion and finding a...
Boosting Web Image Search by CoRanking (2005)
Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong
To maximally improve the precision among top-ranked images returned by a web image search engine without putting extra burden on the user, we propose in this paper a novel co-ranking framework which...
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier (2005)
Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Haixin Duan, ...
As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and theoretical point of view. In this paper, a novel anomaly detection...
Graph based multi-modality learning (2005)
Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-ying Ma
To better understand the content of multimedia, a lot of research efforts have been made on how to learn from multi-modal feature. In this paper, it is studied from a graph point of view: each kind...
Manifold-ranking based image retrieval (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ranking algorithm to...
Automatic peak number detection in image symmetry analysis”, submitted to PCM’2004 (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Previous work...
C.: W-Boost and Its Application to Web Image Classification (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Changshui Zhang
When training data is not sufficient, boosting algorithms tend to overfit as more weak learners are combined to form a strong classifier. In this paper, we propose a new variant of RealBoost, called...
Manifold-ranking based image retrieval (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ranking algorithm to...
Classification of digital photos taken by photographers or home users (2004)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Jingrui He, Changshui Zhang
Abstract. In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photographers or home users. Firstly, a set of low-level...
Mean version space: a new active learning method for content-based image retrieval (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed up the convergence to...
Classification of digital photos taken by photographers or home users (2004)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Jingrui He, Changshui Zhang
Abstract. In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photographers or home users. Firstly, a set of low-level...
Automatic peak number detection in image symmetry analysis”, submitted to PCM’2004 (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Previous work...