| The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.) |
| invited papers predicting signal peptides with support vector machines scaling large learning problems with hard parallel mixtures computational issues on the generalization of kernel machines kernel whitening for one-class classification a fast svm training algorithm support vector machines with embedded reject option object recognition image kernels combining color and shape information for appearance-based object recognition using ultrametric spin glass-markov random fields maintenance training of electric power facilities using object recognition by svm kerneltron: support vector 'machine' in silicon pattern recognition advances in component-based face detection support vector learning for gender classification using audio and visual cues: a comparison analysis of nonstationary time series using support vector machines recognition of consonant-vowel (cv) units of speech in a broadcast news corpus using support vector machines applications anomaly detection enhanced classification in computer intrusion detection . sparse correlation kernel analysis and evolutionary algorithm-based modeling of the sensory activity applications of support vector machines for pattern recognition:a survey typhoon analysis and data mining with kernel methods poster papers support vector features and the role of dimensionality in face authentication face detection based on cost-sensitive support vector machines real-time pedestrian detection using support vector machines forward decoding kernel machines:a hybrid hmm/svm approach to sequence recognition …… author index |
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