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TIP
2002
179views more  TIP 2002»
13 years 10 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
CIVR
2004
Springer
150views Image Analysis» more  CIVR 2004»
14 years 3 months ago
Interactive Content-Based Retrieval Using Pre-computed Object-Object Similarities
We propose using truncated object-object similarity matrix as an access structure for interactive video retrieval. The proposed approach offers a scalable solution to retrieval an...
Liudmila V. Boldareva, Djoerd Hiemstra
CVPR
2008
IEEE
15 years 12 days ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 10 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
ICANN
2005
Springer
14 years 3 months ago
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Emilio Corchado, Álvaro Herrero, José...