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PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 7 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
CVPR
2010
IEEE
14 years 4 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei
WIMOB
2008
IEEE
14 years 2 months ago
Rate Allocation with Lifetime Maximization and Fairness for Data Aggregation in Sensor Networks
—We consider the rate allocation problem for data aggregation in wireless sensor networks with two objectives: 1) maximizing the lifetime of a local aggregation cluster and, 2) a...
Shouwen Lai, Binoy Ravindran, Hyeonjoong Cho
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 1 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
ACCV
2006
Springer
14 years 1 months ago
Matching Gait Image Sequences in the Frequency Domain for Tracking People at a Distance
This paper describes a new method to track people walking by matching their gait image sequences in the frequency domain. When a person walks at a distance from a camera, that pers...
Ryusuke Sagawa, Yasushi Makihara, Tomio Echigo, Ya...