Search for dissertations about: "Multiple signal classification"

Showing result 1 - 5 of 29 swedish dissertations containing the words Multiple signal classification.

  2. 1. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

    Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE

  4. 2. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    Author : Ted Kronvall; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE

  5. 3. Classification of Burst and Suppression in the Neonatal EEG

    Author : Johan Löfhede; Högskolan i Borås; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; EEG; Suppression; classification; Burst; Neonate;

    Abstract : The brain requires a continuous supply of oxygen and even a short period of reduced oxygen supply risks severe and lifelong consequences for the affected individual. The delivery is a vulnerable period for a baby who may experience for example hypoxia (lack of oxygen) that can damage the brain. READ MORE

  6. 4. Signal processing applied to acoustic distance estimation and sound classification

    Author : Lennart Olsson; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal Processing;

    Abstract : The thesis treats some signal processing applications to retrieval of information from acoustic measurements. In the distance estimation applications (parts AI, A2, B and C) an acoustic signal propagates through a physical system and is modified according to some system parameter. READ MORE

  7. 5. Machine Learning Methods Using Class-specific Subspace Kernel Representations for Large-Scale Applications

    Author : Yinan Yu; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; class-specific kernels; large-scale framework; subspace model; classification; kernel approximation; RKHS;

    Abstract : Kernel techniques became popular due to and along with the rising success of Support Vector Machines (SVM). During the last two decades, the kernel idea itself has been extracted from SVM and is now widely studied as an independent subject. READ MORE