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SINGLE-AND TWO-CHANNEL NOISE REDUCTION FOR ROBUST SPEECH RECOGNITION IN CAR
automatic speech recognition robustness car noise two-channel noise reduction
2015/9/29
Hands-free operation of a mobile phone in car raises major challenges for acoustic enhancement algorithms and speech recognition engines. This is due to a degradation of the speech signal caused by re...
Pattern Recognition with Slow Feature Analysis
Characteristic analysis nonlinear function the input data the function of learning
2015/7/31
Slow feature analysis (SFA) is a new unsupervised algorithm to learn nonlinear functions that extract slowly varying signals out of the input data. In this paper we describe its application to pattern...
COMPARISON OF PARSING TECHNIQUES FOR THE SYNTACTIC PATTERN RECOGNITION OF SIMPLE SHAPES
algorithms vision pattern recognition understanding
2015/6/2
Syntactic Pattern Recognition is a procedure, widely used in Cartography and Remote Sensing, that trusts upon matching of sections
of maps and/or images or 3D models with archetypes or objects (pars...
Face Recognition from Incomplete Measurements via l1-Optimization
Sparse Representation l1Minimization Face Recognition Sparse Recovery Interior Point Methods Sparse Regularization
2013/1/30
In this work, we consider a homotopic principle for solving large-scale and dense l1underdetermined problems and its applications in image processing and classification. We solve the face recognition ...
Time neural network minimum distance classifier and its application to optical character recognition problem
neural network classifier minimum distance classification
2010/9/13
We propose a special neural network model, NNC, (Neural Network Classifier), which with a classification problem of l classes C1,C2, ...,Cl, classifies an unknown vector to one class using a minimum d...