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Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models
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Biologically inspired visual models by sparse and unsupervised learning
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Dynamics and algorithms for stochastic search
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A controlled study of the contribution of external resources on Chinese word segmentation
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Feature extraction feature selection and dimensionality reduction techniques for brain computer interface
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EEG-based cognitive load estimation
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Efficient Latent-variable Grammars : Learning and Inference
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Detecting and Analyzing Genomic Structural Variation Using Distributed Computing
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Noise Accumulation in High Dimensional Classification
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Speech Representation Learning for Voice Conversion
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Computer-aided diagnosis of prostate cancer using multi-parametric MRI - Evaluation of feature extraction and classification
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