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» Mixture model based contextual image retrieval
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ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
14 years 5 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
IROS
2009
IEEE
188views Robotics» more  IROS 2009»
14 years 5 months ago
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
Abstract— This paper describes an efficient method for retrieving the 3-dimensional shape associated to novelties in the environment of an autonomous robot, which is equipped wi...
Pedro Núñez Trujillo, Paulo Drews, R...
PAMI
2008
140views more  PAMI 2008»
13 years 10 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
NAACL
2010
13 years 8 months ago
Topic Models for Image Annotation and Text Illustration
Image annotation, the task of automatically generating description words for a picture, is a key component in various image search and retrieval applications. Creating image datab...
Yansong Feng, Mirella Lapata
MM
2004
ACM
112views Multimedia» more  MM 2004»
14 years 4 months ago
Multi-model similarity propagation and its application for web image retrieval
In this paper, we propose an iterative similarity propagation approach to explore the inter-relationships between Web images and their textual annotations for image retrieval. By ...
Xin-Jing Wang, Wei-Ying Ma, Gui-Rong Xue, Xing Li