Sökning: "sparse learning"

Visar resultat 1 - 5 av 49 avhandlingar innehållade orden sparse learning.

  1. 1. Cooperative Compressive Sampling

    Författare :Ahmed Zaki; Lars Kildehøj; Saikat Chatterjee; Jan Østergaard; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Compressive sampling; greedy algorithms; convex optimisation; RIP analysis; fusion strategy; distributed learning; sparse learning; stochastic matrix; consensus; sparse estimation; Telecommunication; Telekommunikation;

    Sammanfattning : Compressed Sampling (CS) is a promising technique capable of acquiring and processing data of large sizes efficiently. The CS technique exploits the inherent sparsity present in most real-world signals to achieve this feat. Most real-world signals, for example, sound, image, physical phenomenon etc., are compressible or sparse in nature. LÄS MER

  2. 2. Sparse Modeling of Harmonic Signals

    Författare :Filip Elvander; Statistical Signal Processing Group; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; multi-pitch estimation; sparse modeling; convex optimisation; inharmonicity; sparse recursive least squares; adaptive signal processing; optimal transport distance;

    Sammanfattning : This thesis considers sparse modeling and estimation of multi-pitch signals, i.e., signals whose frequency content can be described by superpositions of harmonic, or close-to-harmonic, structures, characterized by a set of fundamental frequencies. LÄS MER

  3. 3. Sensorimotor Robot Policy Training using Reinforcement Learning

    Författare :Ali Ghadirzadeh; Mårten Björkman; Danica Kragic; Atsuto Maki; Ville Kyrki; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Reinforcement Learning; Artificial Intelligence; Robot Learning; Sensorimotor; Policy Training; Datalogi; Computer Science;

    Sammanfattning : Robots are becoming more ubiquitous in our society and taking over many tasks that were previously considered as human hallmarks. Many of these tasks, e.g. LÄS MER

  4. 4. Learning in visual art practice

    Författare :Ann-Mari Edström; Pedagogik; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; self-directed learning; studio art; phenomenography; higher education; contextual analysis; visual art practice; Autonomy; artistic development;

    Sammanfattning : The object of research in this thesis is learning within the context of a practice-based Master of Fine Arts program in visual art in Sweden. Research on learning in visual art practice within higher education is sparse, and we know little of the students’ learning processes. LÄS MER

  5. 5. Sparse Modeling of Grouped Line Spectra

    Författare :Ted Kronvall; Statistical Signal Processing Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; line spectra; parameter estimation; convex optimization; group-sparsity; block-sparsity; dictionary learning; ADMM; adaptive penalty; total variation; multi-pitch estimation; chroma; audio processing; TDOA; near-field localization; amplitude modulation;

    Sammanfattning : This licentiate thesis focuses on clustered parametric models for estimation of line spectra, when the spectral content of a signal source is assumed to exhibit some form of grouping. Different from previous parametric approaches, which generally require explicit knowledge of the model orders, this thesis exploits sparse modeling, where the orders are implicitly chosen. LÄS MER