To date, identifying cracks in bridges and determining bridge conditions primarily involve manual labour. Bridge inspection by human experts has some drawbacks such as the inability to physically examine all parts of ...
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Adapting classification systems according to new input data streams raises several challenges in changing environments. Although several adaptive ensemble-based strategies have been proposed to preserve previously-acq...
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Exact computation of graph edit distance (GED) can be solved in exponential time complexity only. A previously introduced approximation framework reduces the computation of GED to an instance of a linear sum assignmen...
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Graph edit distance (GED) is a powerful and flexible graph dissimilarity model. Yet, exact computation of GED is an instance of a quadratic assignment problem and can thus be solved in exponential time complexity only...
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Cognitive impairment affects half of the multiple sclerosis (MS) patient population and is an important factor of quality of life. Cognitive impairment is, however, difficult to detect. Apart from the traditional feat...
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ISBN:
(纸本)9780769550619
Cognitive impairment affects half of the multiple sclerosis (MS) patient population and is an important factor of quality of life. Cognitive impairment is, however, difficult to detect. Apart from the traditional features used in P300 experiments (e. g. amplitude and latency at different electrodes), we want to investigate the value of network-features on the classification of MS patients as cognitively intact or impaired. We included 305 MS patients, recruited at the National MS Center Melsbroek (Belgium). About half of them was denoted cognitively impaired (143). We divided this patient group in a training set (on which we used 10-fold crossvalidation) and an independent test set. Results are reported on this last group to increase the generalizability. We found the correlations linking electrodes from one hemisphere with the other significantly different between the two groups MS patients. Especially in the parietal region this difference was very significant (1.5e(-12)). Using a simple cutoff on this variable, lead to a Percentage Correctly Classified (PCC) of 0.70 and an Area Under Curve (AUC) of the Receiver Operator Curve (ROC) of 0.76. The network parameters that were calculated showed a comparable result for the total number of edges included in the network. Combining these features in a logistic regression model, artificialneuralnetworks or Naive Bayes resulted in a PCC's of 0.68-0.70. These results support the recent suggestion that cognitive dysfunction in MS is caused by a disconnection mechanism in the cerebellum. We have obtained these results applying graph theoretical analyses on EEG data instead of the more common fMRI-analyses. The classification accuracy obtained is, however, not yet sufficient for application in clinical practice.
The proceedings contain 21 papers. The topics discussed include: how to quantitatively compare data dissimilarities for unsupervised machine learning?;kernel robust soft learning vector quantization;incremental learni...
ISBN:
(纸本)9783642332111
The proceedings contain 21 papers. The topics discussed include: how to quantitatively compare data dissimilarities for unsupervised machine learning?;kernel robust soft learning vector quantization;incremental learning by message passing in hierarchical temporal memory;representative prototype sets for data characterization and classification;feature selection by block addition and block deletion;feature selection by block addition and block deletion;towards a novel probabilistic graphical model of sequential data: fundamental notions and a solution to the problem of parameter learning;towards a novel probabilistic graphical model of sequential data: a solution to the problem of structure learning and an empirical evaluation;statistical recognition of a set of patterns using novel probability neural network;and on graph-associated matrices and their eigenvalues for optical character recognition.
Real human-computer interaction systems based on different modalities face the problem that not all information channels are always available at regular time steps. Nevertheless an estimation of the current user state...
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The proceedings contain 13 papers. The topics discussed include: generative modeling of dyadic conversations: characterization of pragmatic skills during development age;social coordination assessment: distinguishing ...
ISBN:
(纸本)9783642370809
The proceedings contain 13 papers. The topics discussed include: generative modeling of dyadic conversations: characterization of pragmatic skills during development age;social coordination assessment: distinguishing between shape and timing;eye localization from infrared thermal images;the effect of fuzzy training targets on voice quality classification;a non-invasive multi-sensor capturing system for human physiological and behavioral responses analysis;motion history of skeletal volumes and temporal change in bounding volume fusion for human action recognition;multi-view multi-modal gait based human identity recognition from surveillance videos;using the transferable belief model for multimodal input fusion in companion systems;and fusion of fragmentary classifier decisions for affective state recognition.
The dynamic use of voice qualities in spoken language can reveal useful information on a speaker39;s attitude, mood and affective states. This information may be desirable for a range of speech technology applicatio...
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Occlusion or camera setting produces a high degree of ambiguity when estimating human body motion from monocular video sequences. Good human motion models are an important means of addressing this problem. In this wor...
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