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» Constructing Visual Models with a Latent Space Approach
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ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
SAC
2002
ACM
15 years 1 months ago
Color patterns for pictorial content description
In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
Daniela Stan, Ishwar K. Sethi
CIKM
2010
Springer
14 years 10 months ago
A late fusion approach to cross-lingual document re-ranking
The field of information retrieval still strives to develop models which allow semantic information to be integrated in the ranking process to improve performance in comparison to...
Dong Zhou, Séamus Lawless, Jinming Min, Vin...
EUC
2005
Springer
15 years 7 months ago
A World Model for Smart Spaces
A world model for ubiquitous computing environments is presented. It can be dynamically organized like a tree based on geographical containment, such as in a user-room-floor-build...
Ichiro Satoh
ICASSP
2011
IEEE
14 years 5 months ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...