Pattern Analysis 2015 (audio)

  • Autor: Vários
  • Narrador: Vários
  • Editora: Podcast
  • Duração: 30:35:08
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Informações:

Sinopse

This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models. Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm. Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

Episódios

  • 22 - Pattern Analysis 2015

    13/07/2015 Duração: 01h22min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 21 - Pattern Analysis 2015

    12/07/2015 Duração: 01h15min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 20 - Pattern Analysis 2015

    06/07/2015 Duração: 01h20min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 19 - Pattern Analysis 2015

    05/07/2015 Duração: 01h17min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 18 - Pattern Analysis 2015

    29/06/2015 Duração: 01h32min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 17 - Pattern Analysis 2015

    28/06/2015 Duração: 01h28min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 16 - Pattern Analysis 2015

    21/06/2015 Duração: 01h11min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 15 - Pattern Analysis 2015

    15/06/2015 Duração: 01h30min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 14 - Pattern Analysis 2015

    14/06/2015 Duração: 01h26min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 13 - Pattern Analysis 2015

    07/06/2015 Duração: 01h17min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 12 - Pattern Analysis 2015

    01/06/2015 Duração: 01h18min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 11 - Pattern Analysis 2015

    31/05/2015 Duração: 01h25min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 10 - Pattern Analysis 2015

    18/05/2015 Duração: 01h32min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 9 - Pattern Analysis 2015

    17/05/2015 Duração: 01h27min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 8 - Pattern Analysis 2015

    11/05/2015 Duração: 01h27min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 7 - Pattern Analysis 2015

    10/05/2015 Duração: 01h29min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 6 - Pattern Analysis 2015

    03/05/2015 Duração: 01h30min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 5 - Pattern Analysis 2015

    27/04/2015 Duração: 52min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 4 - Pattern Analysis 2015

    26/04/2015 Duração: 01h27min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

  • 3 - Pattern Analysis 2015

    20/04/2015 Duração: 01h27min

    This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models.  Accordingly several methods for object recognition are shown. Above that different control strategies usable for pattern analysis systems are presented and therefore also several control algorithms e.g. the A(star) - algorithm.  Finally some formalisms for knowledge representation in pattern analysis systems and knowledge-based pattern analysis are introduced.

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