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FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 8 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
ICPR
2006
IEEE
14 years 6 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
CIVR
2008
Springer
114views Image Analysis» more  CIVR 2008»
13 years 6 months ago
World-scale mining of objects and events from community photo collections
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on ...
Till Quack, Bastian Leibe, Luc J. Van Gool
MM
2004
ACM
195views Multimedia» more  MM 2004»
13 years 10 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
UAI
2004
13 years 6 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...