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» A Statistical Learning Approach To Document Image Analysis
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INFORMATICALT
2007
171views more  INFORMATICALT 2007»
15 years 3 months ago
E-Learning Documentation of Historical Living Systems with 3-D Modeling Functionality
The innovations and improvements in digital imaging sensors and scanners, computer modeling, haptic equipments and e-learning technology, as well as the availability of many powerf...
Athanasios D. Styliadis
ICPR
2002
IEEE
16 years 4 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 8 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
ICIP
1995
IEEE
16 years 4 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...
ICPP
2008
IEEE
15 years 9 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...