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Lecture Notes in Computer Science > Advances in Image and Video Technology > Multimedia Signal Processing > 1168-1176
Lecture Notes in Computer Science > Convergence and Hybrid Information Technology > Pattern Recognition, Image Processing and Clustering > 575-581
Lecture Notes in Computer Science > Advances in Knowledge Discovery and Data Mining > Short Papers > 539-546
Lecture Notes in Computer Science > Machine Learning and Knowledge Discovery in Databases > Regular Papers > 35-50
Lecture Notes in Computer Science > Advances in Neural Networks – ISNN 2011 > Natural Scene Analysis and Speech Recognition > 466-476
Lecture Notes in Computer Science > Machine Learning and Knowledge Discovery in Databases > Demo Papers > 583-586
Lecture Notes in Computer Science > Advances in Knowledge Discovery and Data Mining > Session 2C: Classification (II) > 191-195
Lecture Notes in Computer Science > Artificial Intelligence and Computational Intelligence > Machine Learning > 680-687
Lecture Notes in Computer Science > Neural Information Processing > Computational Advances in Bioinformatics > 512-519
Lecture Notes in Computer Science > Algorithms and Architectures for Parallel Processing > Track 5: Advanced Network Technologies > 458-469
Lecture Notes in Computer Science > New Trends in Applied Artificial Intelligence > Machine Learning I > 756-765
Lecture Notes in Computer Science > Advances in Computation and Intelligence > Section VI: Classification and Recognition > 416-425
Lecture Notes in Computer Science > Advances in Neural Networks - ISNN 2010 > Data Mining and Text Analysis > 276-281
Lecture Notes in Computer Science > Image Analysis and Recognition > Texture and Motion Analysis > 688-696
Lecture Notes in Computer Science > Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 > Shape and Statistics Analysis > 620-627
Lecture Notes in Computer Science > Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging > Markov Models for Image Reconstruction and Analysis > 54-62
Lecture Notes in Computer Science > Neural Information Processing. Models and Applications > Kernel Methods > 116-123