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» Unsupervised Learning of Object Deformation Models
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AAAI
2008
13 years 9 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian
CVPR
2011
IEEE
13 years 2 months ago
Joint Face Alignment with A Generic Deformable Face Model
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
Cong Zhao, Wai-Kuen Cham, Xiaogang Wang
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 8 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
CVPR
2012
IEEE
11 years 9 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ECML
2006
Springer
13 years 11 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...