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» A Statistical Learning Approach To Document Image Analysis
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CAIP
2005
Springer
159views Image Analysis» more  CAIP 2005»
15 years 5 months ago
Global Color Image Features for Discrete Self-localization of an Indoor Vehicle
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...
133
Voted
ICIP
2007
IEEE
16 years 5 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
SIGIR
2010
ACM
15 years 3 months ago
Analysis of structural relationships for hierarchical cluster labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
Markus Muhr, Roman Kern, Michael Granitzer
118
Voted
LREC
2010
246views Education» more  LREC 2010»
15 years 4 months ago
GermanPolarityClues: A Lexical Resource for German Sentiment Analysis
In this paper, we propose GermanPolarityClues, a new publicly available lexical resource for sentiment analysis for the German language. While sentiment analysis and polarity clas...
Ulli Waltinger
141
Voted
LWA
2004
15 years 4 months ago
Dirichlet Enhanced Latent Semantic Analysis
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Kai Yu, Shipeng Yu, Volker Tresp