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» Image Distance Using Hidden Markov Models
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ICML
2009
IEEE
14 years 8 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICIP
2007
IEEE
13 years 9 months ago
Motion Estimation using Tangent Distance
In this paper, we present a method based on tangent distance to estimate motion in image sequences. Tangent distance combines an intuitive understanding and effective modeling of ...
Jonathan Fabrizio, Séverine Dubuisson
ISSADS
2005
Springer
14 years 1 months ago
On the Role of Information Compaction to Intrusion Detection
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
Fernando Godínez, Dieter Hutter, Raul Monro...
JCDL
2003
ACM
101views Education» more  JCDL 2003»
14 years 1 months ago
Bibliographic Attribute Extraction from Erroneous References Based on a Statistical Model
In this paper, we propose a method for extracting bibliographic attributes from reference strings captured using Optical Character Recognition (OCR) and an extended hidden Markov ...
Atsuhiro Takasu
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun