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» Unsupervised Clustering In Streaming Data
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ICDAR
2009
IEEE
15 years 4 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
IAJIT
2010
230views more  IAJIT 2010»
14 years 8 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad
PAMI
2010
260views more  PAMI 2010»
14 years 8 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
IPPS
2009
IEEE
15 years 4 months ago
On the tradeoff between playback delay and buffer space in streaming
We consider the following basic question: a source node wishes to stream an ordered sequence of packets to a collection of receivers, which are distributed among a number of clust...
Alix L. H. Chow, Leana Golubchik, Samir Khuller, Y...
MVA
2010
130views Computer Vision» more  MVA 2010»
14 years 8 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh