 IDEALS Home
 →
 College of Engineering
 →
 Dept. of Computer Science
 →
 Research and Tech Reports  Computer Science
 →
 Browse Research and Tech Reports  Computer Science by Author
Browse Research and Tech Reports  Computer Science by Author "Han, Jiawei"
Now showing items 120 of 20

Yan, Xifeng; Yang, Jiong; Wang, Wei; Han, Jiawei (200502)Sensor networks have been deployed in various environments, from battle field surveillance to weather monitoring. The amount of data generated by the sensors can be large. One way to analyze such large data set is to capture ...
application/pdf
PDF (158kB) 
Xin, Dong; Shao, Zheng; Han, Jiawei; Liu, Hongyan (200510)It is well recognized that data cubing often produces huge outputs. Two popular efforts devoted to this problem are (1) iceberg cube, where only significant cells are kept, and (2)closed cube, where a group of cells which ...
application/pdf
PDF (209kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200708)Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing the between class covariance and simultaneously ...
application/pdf
PDF (197kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200802)Recently Nonnegative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two nonnegative matrices whose product can well approximate ...
application/pdf
PDF (109kB) 
Ji, Ming; Sun, Yizhou; Danilevsky, Marina; Han, Jiawei (20100430)A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that stronglytyped heterogeneous information networks are prevalent in the real world. ...
application/pdf
PDF (242kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200607)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 consider the case where ...
application/pdf
PDF (819kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200604)Most of the existing learning algorithms take vectors as their input data. A function is then learned in such a vector space for classification, clustering, or dimensionality reduction. However, in some situations, there ...
application/pdf
PDF (185kB) 
Lu, Ying; Han, Jiawei (200507)Maintaining frequency counts for data streams has attracted much interest among the research community recently since it provides the base for many stream mining applications. Most existing work followed the same paradigm: ...
application/pdf
PDF (676kB) 
Cai, Deng; Shao, Zheng; He, Xiaofei; Yan, Xifeng; Han, Jiawei (200503)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 assume that there is only ...
application/pdf
PDF (235kB) 
Cai, Deng; Mei, Qiaozhu; He, Xiaofei; Han, Jiawei (200801)Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the joint probability of documents and terms in the ...
application/pdf
PDF (142kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200607)A novel approach to linear dimensionality reduction is introduced that is based on Locality Preserving Projections (LPP) with a discretized Laplacian smoothing term. The choice of penalty allows us to incorporate prior ...
application/pdf
PDF (360kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200607)Graphbased approaches for semisupervised learning have received increasing amount of interest in recent years. Despite their good performance, many pure graph based algorithms do not have explicit functions and can not ...
application/pdf
PDF (200kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200705)Spectral methods have recently emerged as a powerful tool for dimensionality reduction and manifold learning. These methods use information contained in the eigenvectors of a data affinity (\ie, itemitem similarity) matrix ...
application/pdf
PDF (273kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200705)Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection functions of LDA are commonly obtained by maximizing the between class covariance and ...
application/pdf
PDF (249kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200505)Linear dimensionality reduction techniques have been widely used in pattern recognition and computer vision, such as face recognition, image retrieval, etc. The typical methods include Principal Component Analysis (PCA) ...
application/pdf
PDF (220kB) 
Cai, Deng; He, Xiaofei; Wen, JiRong; Han, Jiawei; Ma, WeiYing (200604)We consider the problem of text representation and categorization. Conventionally, a text document is represented by a vector in high dimensional space. Some learning algorithms are then applied in such a vector space for ...
application/pdf
PDF (220kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200604)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, techniques like Latent Semantic Indexing ...
application/pdf
PDF (234kB) 
Lee, JaeGil; Han, Jiawei; Whang, KyuYoung (200703)Existing trajectory clustering algorithms group similar trajectories as a whole, thus discovering common trajectories. Our key observation is that clustering trajectories as a whole could miss common subtrajectories. ...
application/pdf
PDF (885kB) 
Troubleshooting interactive complexity bugs in wireless sensor networks using data mining techniques Khan, Mohammad Maifi Hasan; Le, Khac Hieu; Ahmadi, Hossein; Abdelzaher, Tarek F.; Han, Jiawei (2010)This article presents a tool for uncovering bugs due to interactive complexity in networked sensing applications. Such bugs are not localized to one component that is faulty, but rather result from complex and unexpected ...
application/pdf
PDF (366kB) 
Cai, Deng; He, Xiaofei; Han, Jiawei (200509)Previous work has demonstrated that the image variations of many objects (human faces in particular) under variable lighting can be effectively modelled by low dimensional linear spaces. The typical methods for learning a ...
application/pdf
PDF (494kB)
Now showing items 120 of 20