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» Mixture model based contextual image retrieval
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ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
16 years 14 days 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»
16 years 1 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»
15 years 6 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
15 years 4 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»
15 years 12 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