Search for dissertations about: "Pattern recognition"

Showing result 1 - 5 of 196 swedish dissertations containing the words Pattern recognition.

  1. 1. Face Recognition A Single View Based HMM Approach

    University dissertation from Umeå : Tillämpad fysik och elektronik

    Author : Hung Son Le; Umeå universitet.; [2008]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; face recognition; pattern recognition; computer vision; HMM; Hidden Markov Models; contrast enhancement; pyramid fusion; image processing; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap;

    Abstract : This dissertation addresses the challenges of giving computers the ability of doing face recognition, i.e. discriminate between different faces. Face recognition systems are commonly trained with a database of face images, becoming “familiar” with the given faces. READ MORE

  2. 2. Automated Tissue Image Analysis Using Pattern Recognition

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Jimmy Azar; Uppsala universitet.; Uppsala universitet.; [2014]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tissue image analysis; pattern recognition; digital histopathology; immunohistochemistry; paired antibodies; histological stain evaluation; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE

  3. 3. Multifont recognition System for Ethiopic Script

    University dissertation from Göteborg : Department of Signals and Systems, Chalmers University of Technology

    Author : Yaregal Assabie Lake; Högskolan i Halmstad.; [2006]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ethiopic character recognition; OCR; Multifont recognition; Amharic; Direction fields; Structural and syntactic pattern recognition; TECHNOLOGY Information technology Image analysis; TEKNIKVETENSKAP Informationsteknik Bildanalys;

    Abstract : In this thesis, we present a general framework for multi-font, multi-size and multi-style Ethiopic character recognition system. We propose structural and syntactic techniques for recognition of Ethiopic characters where the graphically comnplex characters are represented by less complex primitive structures and their spatial interrelationships. READ MORE

  4. 4. Modeling prediction and pattern recognition in the early visual and olfactory systems

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Bernhard Kaplan; KTH.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; spiking neural networks; pattern recognition; self-organization; prediction; anticipation; visual system; olfactory system; modeling; Computer Science; Datalogi;

    Abstract : Our senses are our mind's window to the outside world and determine how we perceive our environment.Sensory systems are complex multi-level systems that have to solve a multitude of tasks that allow us to understand our surroundings. READ MORE

  5. 5. Peptidoglycan recognition proteins in Drosophila melanogaster

    University dissertation from Umeå : Umeå centrum för molekylär patogenes (UCMP) (Medicinska fakulteten)

    Author : Thomas Werner; Umeå universitet.; [2004]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Molecular biology; Drosophila; PGRP; peptidoglycan; pattern recognition; imd; Relish; isoform; RNAi; mbn-2; Molekylärbiologi; NATURAL SCIENCES Biology Cell and molecular biology Molecular biology; NATURVETENSKAP Biologi Cell- och molekylärbiologi Molekylärbiologi; molekylärbiologi; Molecular Biology;

    Abstract : The fruit fly Drosophila melanogaster is an excellent model organism to study the innate immune response, because insects and mammals share conserved features regarding the recognition and destruction of microorganisms and Drosophila is easily accessible to genetic manipulation. In my present study, I identified a new family of pattern recognition molecules for bacterial peptidoglycan in Drosophila, the Peptidoglycan Recognition Proteins (PGRP). READ MORE