Locality sensitive discriminant analysis (2008)
Deng Cai, Jiawei Han, Xiaofei He, Kun Zhou, Hujun Bao
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discover the local...
Document Clustering Using Locality Preserving ∗ corresponding author Indexing (2008)
Deng Cai, Xiaofei He, Jiawei Han
1 We propose a novel document clustering method, which aims to cluster the docu-ments into different semantic classes. The document space is generally of high dimen-sionality, and clustering in such...
Fisher Analysis (MFA) and Local Discriminant Embedding (2008)
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas Huang
Subspace learning based face recognition methods have attracted considerable interests in recently years, including
ABSTRACT Laplacian Optimal Design for Image Retrieval (2008)
Xiaofei He, Wanli Min, Kun Zhou, Deng Cai
Relevance feedback is a powerful technique to enhance Content-Based Image Retrieval (CBIR) performance. It solicits the user’s relevance judgments on the retrieved images returned by the CBIR...
and Retrieval—Relevance feedback (2008)
Deng Cai, Xiaofei He, Jiawei Han
Recently, there have been considerable interests in geometric-based methods for image retrieval. These methods consider the image space as a smooth manifold and apply manifold learning techniques to...
ABSTRACT Orthogonal Locality Preserving Indexing (2008)
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from Latent Semantic...
∗ corresponding author Orthogonal Laplacianfaces for Face Recognition (2008)
Deng Cai, Xiaofei He, Jiawei Han, Acm Fellow
1 Following the intuition that the naturally occurring face data may be generated by sampling a probability distribution that has support on or near a sub-manifold of ambient space, we propose an...
ABSTRACT Image Clustering with Tensor Representation ∗ (2008)
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space R n1×n2. Some learning algorithms are then applied...
Search and Retrieval—information filtering, retrieval models (2008)
Kai Yu, Wei-ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, Hongjiang Zhang, ...
This paper aims to address the problem of art image retrieval (AIR), which aims to help users find their favorite painting images. AIR is of great interests to us because of its application...
(Roweis & Saul, 2000), Laplacian (2008)
Xiaofei He, Deng Cai, Wanli Min
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projective maps that arise...
Search and Retrieval—information filtering, retrieval models (2007)
Kai Yu, Wei-ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, Hongjiang Zhang, ...
This paper aims to address the problem of art image retrieval (AIR), which aims to help users find their favorite painting images. AIR is of great interests to us because of its application...
Deng Cai, Xiaofei He, Jiawei Han, Deng Cai, Xiaofei He, Jiawei Han
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing, including data mining, information retrieval, and pattern recognition. We...
Regularized locality preserving indexing via spectral regression (2007)
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from Latent Semantic...
Semi-Supervised Regression using Spectral Techniques ∗ (2006)
Deng Cai, Xiaofei He, Jiawei Han, Deng Cai, Xiaofei He, Jiawei Han
Graph-based approaches for semi-supervised learning have received increasing amount of interest in recent years. Despite their good performance, many pure graph based algorithms do not have explicit...
Tensor space model for document analysis (2006)
Deng Cai, Deng Cai, Xiaofei He, Xiaofei He, Jiawei Han, Jiawei Han
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector space, tech-niques like...
Face recognition using laplacianfaces (2005)
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, Hong-jiang Zhang
Abstract—We propose an appearance-based face recognition method called the Laplacianface approach. By using Locality Preserving Projections (LPP), the face images are mapped into a face subspace...
Mining hidden community in heterogeneous social networks (2005)
Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han
Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing methods on community mining...
Face recognition using laplacianfaces (2005)
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, Hong-jiang Zhang
Abstract—We propose an appearance-based face recognition method called the Laplacianface approach. By using Locality Preserving Projections (LPP), the face images are mapped into a face subspace...
Mining hidden community in heterogeneous social networks (2005)
Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han, Deng Cai, ...
Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing methods on community mining...
Neighborhood preserving embedding (2005)
Xiaofei He, Deng Cai, Shuicheng Yan, Hong-jiang Zhang
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling a probability...
Laplacian score for feature selection (2005)
Xiaofei He, Deng Cai, Partha Niyogi
In supervised learning scenarios, feature selection has been studied widely in the literature. Selecting features in unsupervised learning scenarios is a much harder problem, due to the absence of...
Tensor subspace analysis (2005)
Xiaofei He, Deng Cai, Partha Niyogi
Previous work has demonstrated that the image variations of many objects (human faces in particular) under variable lighting can be effectively modeled by low dimensional linear spaces. The typical...
Many problems in information processing involve some form of dimensionality re-duction. In this thesis, we introduce Locality Preserving Projections (LPP). These are linear projective maps that arise...
Community mining from multi-relational networks (2005)
Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han
Abstract. Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing methods on community...
Face recognition using laplacianfaces (2005)
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, Hong-jiang Zhang
We propose an appearance based face recognition method called the Laplacianface approach. By using Locality Preserving Projections (LPP), the face images are mapped into a face subspace for analysis....
Locality preserving projections / (2005)
Thesis (Ph. D.)--University of Chicago, Dept. of Computer science, Dec. 2005.
Locality Preserving Indexing for Document Representation (2004)
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Indexing (LSI) is...
Organizing WWW Images Based on The Analysis of Page Layout and Web Link Structure (2004)
Deng Cai, Xiaofei He, Wei-ying Ma, Ji-rong Wen, Hongjiang Zhang
Due to the rapid growth of the number of digital images on the Web, there is an increasing demand for effective and efficient method for organizing and retrieving the images available. This paper...
Block-level Link Analysis (2004)
Deng Cai, Xiaofei He, Ji-rong Wen, Wei-ying Ma
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms. Most of the existing link analysis algorithms treat a web...
Learning an image manifold for retrieval (2004)
Xiaofei He, Wei-ying Ma, Hong-jiang Zhang
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded in a high...
Organizing WWW Images Based on The Analysis of Page Layout and Web Link Structure (2004)
Deng Cai, Xiaofei He, Wei-ying Ma, Ji-rong Wen, Hongjiang Zhang
Due to the rapid growth of the number of digital images on the Web, there is an increasing demand for effective and efficient method for organizing and retrieving the images available. This paper...
Locality preserving clustering for image database (2004)
Xin Zheng, Deng Cai, Xiaofei He, Wei-ying Ma, Xueyin Lin
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data preprocessing, user...
Learning an image manifold for retrieval (2004)
Xiaofei He, Wei-ying Ma, Hong-jiang Zhang
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded in a high...
Locality Preserving Indexing for Document Representation (2004)
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Indexing (LSI) is...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-ying Ma, Ji-rong Wen
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the results into different...
Xiaofei He, Deng Cai, Ji-rong Wen, Wei-ying Ma, Hong-jiang Zhang
Due to the rapid growth of the number of digital images on the Web, there is an increasing demand for effective and efficient method for organizing and retrieving the images available. This paper...
Block-level Link Analysis (2004)
Deng Cai, Xiaofei He, Ji-rong Wen, Wei-ying Ma
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms. Most of the existing link analysis algorithms treat a web...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-ying Ma, Ji-rong Wen
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the results into different...
ImageSeer: Clustering and Searching WWW Images (2004)
Xiaofei He, Deng Cai, Ji-rong Wen, Wei-ying Ma, Hong-jiang Zhang
Due to the rapid growth of the number of digital images on the Web, there is an increasing demand for effective and efficient method for organizing and retrieving the images available. This paper...
Wireless infra-red computer control / (2003)
Thesis (M. Sc. (Microelect.))--Nanyang Technological University, School of Electrical and Electronic Engineering, 2003.
Learning a locality preserving subspace for visual recognition (2003)
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Hong-jiang Zhang
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analysis (PCA) and linear...
Learning a Semantic Space From User’s Relevance Feedback for Image Retrieval (2003)
Xiaofei He, Oliver King, Wei-ying Ma, Mingjing Li, Hong-jiang Zhang, Senior Member
Abstract—As current methods for content-based retrieval are incapable of capturing the semantics of images, we experiment with using spectral methods to infer a semantic space from user’s...
ImageRank: spectral techniques for structural analysis of image database (2003)
Xiaofei He, Wei-ying Ma, Hongjiang Zhang
Drawing on the correspondence between spectral clustering, spectral dimensionality reduction, and the connections to the Markov Chain theory, we present a novel unified framework for structural...
Locality Preserving Projections (2003)
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projective maps that arise...
Learning and inferring a semantic space from user’s relevance feedback for image retrieval (2002)
Xiaofei He, Wei-ying Ma, Oliver King, Mingjing Li, Hongjiang Zhang
As current methods for content-based retrieval are incapable of capturing the semantics of images, we experiment with using spectral methods to infer a semantic space from user’s relevance...
Laplacian Eigenmap for Image Retrieval (2002)
Dimensionality reduction has received much attention in image retrieval. Even though the dimension of image feature vectors is normally very high, the embedded dimension is much lower. Before we...
Locality Preserving Projections (2002)
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projective maps that arise...
Query rewriting using active learning for sponsored search (2002)
Wei Vivian Zhang, Xiaofei He, Benjamin Rey, Rosie Jones
Sponsored search is a major revenue source for search companies. Web searchers can issue any queries, while advertisement keywords are limited. Query rewriting technique effectively matches user...
Locality Preserving Projections (LPP (2002)
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projective maps that arise...
Gilbert, Linda C., He, Xiaofei, Farmer, Paul K., Rubin, Janet, Drissi, Hicham, Van Wijnen, Andre J., ...
The transcription factor RUNX2 (Cbfa1/AML3/Pebp2alphaA) is a critical regulator of osteoblast differentiation. We investigated the effect of the inflammatory cytokine tumor necrosis factor alpha...
Tang, Hongzhi, Wang, Lijuan, Meng, Xiangzhou, Ma, Lanying, Wang, Shuning, He, Xiaofei, ...
There are quite a few ongoing biochemical investigations of nicotine degradation in different organisms. In this work, we identified and sequenced a gene (designated nicA) involved in nicotine...