PROCEEDINGS VOLUME 5673
ELECTRONIC IMAGING 2005 | 16-20 JANUARY 2005
Applications of Neural Networks and Machine Learning in Image Processing IX
ELECTRONIC IMAGING 2005
16-20 January 2005
San Jose, California, United States
Classification, Recognition, and Self-Organization Feature Maps
Proc. SPIE 5673, Content-adaptive neural filters for image interpolation using pixel classification, 0000 (23 February 2005); doi: 10.1117/12.592472
Proc. SPIE 5673, Spectral clustering for data categorization based on self-organizing maps, 0000 (23 February 2005); doi: 10.1117/12.585857
Proc. SPIE 5673, PathSOM: a novel visual-spatial search strategy, 0000 (23 February 2005); doi: 10.1117/12.587713
Proc. SPIE 5673, Classification of a set of vectors using self-organizing map- and rule-based technique, 0000 (23 February 2005); doi: 10.1117/12.583123
Fuzzy Clustering, Classification, and Recognition
Proc. SPIE 5673, Object classification in images for Epo doping control based on fuzzy decision trees, 0000 (23 February 2005); doi: 10.1117/12.585255
Proc. SPIE 5673, Content-based document enhancement by fuzzy clustering with spatial constraints, 0000 (23 February 2005); doi: 10.1117/12.585543
Proc. SPIE 5673, Handwritten Chinese character recognition based on supervised competitive learning neural network and block-based relative fuzzy feature extraction, 0000 (23 February 2005); doi: 10.1117/12.587156
Proc. SPIE 5673, Independent component analysis for hyperspectral imagery plant classification, 0000 (23 February 2005); doi: 10.1117/12.584356
Support Vector Machine and Machine Learning
Proc. SPIE 5673, Possibilistic particle swarms for optimization, 0000 (23 February 2005); doi: 10.1117/12.588353
Proc. SPIE 5673, Generic object recognition by combining distinct features in machine learning, 0000 (23 February 2005); doi: 10.1117/12.585810
Proc. SPIE 5673, Removal of spatially correlated noise by independent component analysis, 0000 (23 February 2005); doi: 10.1117/12.593799
Use of Neural Networks for Fusion, Detection, Feature Extraction, and Learning I
Proc. SPIE 5673, Fusion of local and global features for efficient object detection, 0000 (23 February 2005); doi: 10.1117/12.586592
Proc. SPIE 5673, Tactical image parameter adjustment for stereo pair correlation, 0000 (23 February 2005); doi: 10.1117/12.582038
Proc. SPIE 5673, Neural network noniterative learning and identification of static features and their dynamic variations in very similar patterns, 0000 (23 February 2005); doi: 10.1117/12.585060
Proc. SPIE 5673, Detection of cyst using image segmentation and building knowledge-based intelligent decision support system as an aid to telemedicine, 0000 (23 February 2005); doi: 10.1117/12.585283
Proc. SPIE 5673, Feature extraction from a noisy background for use in neural network identifications, 0000 (23 February 2005); doi: 10.1117/12.585061
Use of Neural Networks for Fusion, Detection, Feature Extraction, and Learning II
Proc. SPIE 5673, Mouse-based signature verification for secure Internet transactions, 0000 (23 February 2005); doi: 10.1117/12.585891
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