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» Clustering Objects on a Spatial Network
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NIPS
2007
15 years 4 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
143
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ASUNAM
2011
IEEE
14 years 3 months ago
Evolutionary Clustering and Analysis of Bibliographic Networks
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizho...
140
Voted
BDA
2007
15 years 4 months ago
A Framework for Distributed Spatial Indexing in Shared-Nothing Architectures
The paper presents a complete framework for spatial indexing support in a distributed setting. We consider a shared-nothing environment where a set of servers provides independent...
Cédric du Mouza, Witold Litwin, Philippe Ri...
136
Voted
WACV
2005
IEEE
15 years 9 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
120
Voted
AAAI
2010
14 years 10 months ago
Grouping Strokes into Shapes in Hand-Drawn Diagrams
Objects in freely-drawn sketches often have no spatial or temporal separation, making object recognition difficult. We present a two-step stroke-grouping algorithm that first clas...
Eric Jeffrey Peterson, Thomas F. Stahovich, Eric D...