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» Mixture model based contextual image retrieval
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CIVR
2005
Springer
118views Image Analysis» more  CIVR 2005»
15 years 4 months ago
On Image Retrieval Using Salient Regions with Vector-Spaces and Latent Semantics
Abstract. The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past yea...
Jonathon S. Hare, Paul H. Lewis
FGR
2000
IEEE
181views Biometrics» more  FGR 2000»
15 years 3 months ago
Face Detection Using Mixtures of Linear Subspaces
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman
CONTEXT
2007
Springer
15 years 5 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
ECCV
2008
Springer
16 years 1 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
ICASSP
2010
IEEE
14 years 11 months ago
Robust background modeling via standard variance feature
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
Bineng Zhong, Hongxun Yao, Shaohui Liu