Download as PDF, PPTX
![14/18
PATTERNS
PATTERN RECOGNITION
DESIGN PATTERNS
MUSIC PATTERNS
TRAINING PATTERNS
CONCLUSION
Training patterns (in jazz improvisation training) are:
“
fi
nger habits. (...)
Something that is not necessarily preheard, but (...) is
understood to work (by cognizance of the theoretical reasons
and/or by previous experience), or (...) that feel comfortable to
the
fi
ngers and hands.
[Something] (...) to be practiced diligently by serious students”
(Coker 1970, 1).](https://image.slidesharecdn.com/inthenameofthepattern-230305101217-e5ea4777/85/In-the-name-of-the-pattern-pdf-15-320.jpg)
Uploaded byMassimiliano Viel
In the name of the pattern.pdf
The document explores the concept of patterns across various domains including music, design, and data recognition, emphasizing the role of pattern recognition in categorizing and identifying recurring design challenges. It defines design patterns as reusable solutions to common problems, enhancing flexibility and elegance in object-oriented design. The conclusion highlights pattern recognition as a scientific discipline focused on object description and classification, supported by references to various scholarly works.
In the name of the pattern.pdf
- 1. MASSIMILIANO VIEL MUSIC ANDPATTERNS CITTADELLARTE 05.2015
- 2. 01/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERN TRAINING PATTERNS CONCLUSION P A T T E R N S
- 3. MACHINE LEARNING WOODWORKING ARCHITECTURE OBJECT ORIENTEDPROGRAMMING COMPUTED TOMOGRAPHY DATA MINING CROSS STITCH DECORATION PATTERN CUTTING FACE RECOGNITION IMAGE PROCESSING BIOMETRICS TRADE CHART PATTERN LANGUAGE PROCESSING CROCHET MUSIC ARRANGEMENT ORNAMENT METRIC CUTTING BRAIN IMAGING JAZZ IMPROVISATION COMPUTER VISION NEURAL NETWORKS NEUROLINGUISTIC PROGRAMMING LANDSCAPE DESIGN NEUROSCIENCE BEHAVIORAL SYSTEM BUILDING CELLULAR AUTOMATA WEBSITES DESIGN ONTOLOGY ENGINEERING BUILDING ENTERPRISE DYNAMIC TRADING SWORD AND FENCING ENTERPRISE APPLICATION JAVA PROGRAMMING SPEECH PROCESSING STATISTICAL LEARNING MENTAL STATE MANAGEMENT MOBILE DESIGN COMMUNICATION STAINED GLASS SCROLL SAW DOCUMENTATION SOFTWARE DESIGN CANDLESTICK GRAPHS KNITTING VOLATILITY TRADING STENCIL HISTORICAL VOLATILITY FOREX TRADING DRUM TRAINING STATISTICAL LEARNING DECISION THEORY SEWING FUZZY LOGIC SURFACE DESIGN ITERATIVE DEVELOPMENT PSYCHOLOGY SIGNAL PROCESSING BREATHING DISORDERS INTERACTION DESIGN ORIGAMI POLITICS GAME THEORY STRUM AND PICKING ART HISTOR WOODWORKIN ARCHITECTUR ORNAMEN DECORATIO COMPUTED TOMOGRAPH DATA MININ CROSS STITC PATTERN CUTTIN FACE RECOGNITIO IMAGE PROCESSIN BIOMETRIC TRADE CHART PATTER CHAINSAW CROCHE COMPOSITIO DATA MININ METRIC CUTTIN BRAIN IMAGIN JAZZ IMPROVISATIO AGRICOLTUR NETWORK LANDSCAPE DESIG NEUROSCIENC BEHAVIOIN CELLULAR AUTOMAT WEBSITES DESIG ENGINEERINGN BUILDING ENTERPRIS DYNAMIC TRADIN SWORD AND FENCIN PHP PROGRAMMIN STENCIL JAVA PROGRAMMING SPEECH PROCESSING ORIGAMI FUZZY LOGIC MENTAL STATE MANAGEMENT MOBILE DESIGN COMMUNICATION STAINED GLASS SCROLL SAW DOCUMENTATION SOFTWARE DESIGN CANDLESTICK GRAPHS KNITTING VOLATILITY TRADING SURFACE DESIGN HISTORICAL VOLATILITY FOREX TRADING DRUM TRAINING STATISTICAL LEARNING DECISION THEORY STATISTICAL LEARNING SEWING ENTERPRISE APPLICATION ITERATIVE DEVELOPMENT PSYCHOLOGY SIGNAL PROCESSING BREATHING DISORDERS INTERACTION DESIGN POLITICS GAME THEORY STRUM AND PICKING MACHINE LEARNING WOODWORKING ARCHITECTURE ORNAMENT DECORATION COMPUTED TOMOGRAPHY DATA MINING CROSS STITCH PATTERN CUTTING FACE RECOGNITION IMAGE PROCESSING BIOMETRICS TRADE CHART PATTERN LANGUAGE PROCESSING CROCHET MUSIC ARRANGEMENT DATA MINING METRIC CUTTING BRAIN IMAGING JAZZ IMPROVISATION NGUISTIC PROGRAMMING NEURAL NETWORKS LANDSCAPE DESIGN NEUROSCIENCE ORAL SYSTEM BUILDING CELLULAR AUTOMATA WEBSITES DESIGN ONTOLOGY ENGINEERING BUILDING ENTERPRISE DYNAMIC TRADING SWORD AND FENCING COMPUTER PROGRAMMING 02/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSIC PATTERN TRAINING PATTERNS CONCLUSION
- 4. P A TT E R N R E C O G N I T I O N 03/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSIC PATTERN TRAINING PATTERNS CONCLUSION
- 5. 04/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERN TRAINING PATTERNS CONCLUSION “the act of taking in raw data and taking an action based on the ‘category’ of the pattern”; (Duda 2001, 4) "the automatic discovery of regularities in data through the use of computer algorithms and with the use of these regularities to take actions such as classifying the data into different categories." (Bishop 2006, 1) Pattern Recognition is:
- 6. 05/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERN TRAINING PATTERNS CONCLUSION "the word pattern is derived from the same root as the word patron” (a Middle English word taken from the Old French) “and, in its original use, means something which is set up as a perfect example to be imitated. Thus pattern recognition means the identi fi cation of the ideal which a given object was made after." (Pavlidis 1980 1)
- 7. 06/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERN TRAINING PATTERNS CONCLUSION repertoire of PATTERN MODELS RAW DATA (or SIGNAL) SEGMENTATION FEATURE EXTRACTION CLUSTERING ... PATTERN INSTANCE BACKGROUND NOISE REACTION ACTOR
- 8. 07/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION D E S I G N P A T T E R N S
- 9. 08/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION A “design pattern “describes a particular recurring design problem that arises in speci fi c design contexts, and presents a well-proven generic scheme for its solution”. (Bushman 1996, 8) It’s intended to “make object-oriented designs more fl exible, elegant, and ultimately reusable". (Gamma 1998, introduction 1) “Each pattern describes a problem which occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it the same way twice”. (Alexander 1977) "Design patterns” are “structured, packaged problem solutions in literary form”. (Evitts 2000 8)
- 10. 09/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION repertoire of DESIGN PATTERNS in a speci fi c DOMAIN PROBLEM in a speci fi c DOMAIN RECOGNITION of PATTERN whose the PROBLEM is an INSTANCE ACTOR INSTANTIATION of the chosen PATTERN in the domain of the SOLUTION SOLUTION in a speci fi c DOMAIN causal connection
- 11. 10/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION M U S I C P A T T E R N S
- 12. 11/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION pattern noun 1 a repeated decorative design: a neat blue herringbone pattern. • an arrangement or design regularly found in comparable objects: the house had been built on the usual pattern. 2 a regular and intelligible form or sequence discernible in the way in which something happens or is done: a complicating factor is the change in working patterns. 3 a model or design used as a guide in needlework and other crafts. • a set of instructions to be followed in making a sewn or knitted item. • a wooden or metal model from which a mould is made for a casting. • a sample of cloth or wallpaper. 4 an excellent example for others to follow: he set the pattern for subsequent study.
- 13. 12/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION CONFIGURATIONS in the POIETIC DOMAIN REPETITION of a chosen PATTERN ACTOR OBJECT repertoire of possible POIETIC PATTERNS repertoire of possible AESTHESIC PATTERNS RECOGNITION of repetitions as INSTANCES ACTOR CONFIGURATIONS in the AESTHESIC DOMAIN
- 14. 13/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERN TRAINING PATTERNS CONCLUSION T R A I N I N G P A T T E R N S
- 15. 14/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION Training patterns (in jazz improvisation training) are: “ fi nger habits. (...) Something that is not necessarily preheard, but (...) is understood to work (by cognizance of the theoretical reasons and/or by previous experience), or (...) that feel comfortable to the fi ngers and hands. [Something] (...) to be practiced diligently by serious students” (Coker 1970, 1).
- 16. 15/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION repertoire of PATTERNS in a DOMAIN ACTOR INSTANTIATION of the chosen PATTERN in performative DOMAIN instructive connection repertoire of PATTERNS in a new DOMAIN INSTANTIATION of the chosen PATTERN in perfomrative DOMAIN semantic connection?
- 17. 16/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION C O N C L U S I O N
- 18. 17/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION “Pattern Recognition is the scienti fi c discipline dealing with methods for object description and classi fi cation”. (De Sà 2001, 2)
- 19. 18/18 PATTERNS PATTERN RECOGNITION DESIGN PATTERNS MUSICPATTERNS TRAINING PATTERNS CONCLUSION REFERENCES Alexander C, Ishikawa S, Silverstein M (1977), A Pattern Language: Towns, Buildings, Construction, Oxford University Press. Bezdek J (1981), Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, NY. Bezdek J, Keller J, Krishnapuram R, Pal N. (1999), Fuzzy Models and Algorithms for Pattern Recognition and Image Processing, Kluwer Academic Publishers Norwell, MA. Bishop C, (2006), Pattern Recognition and Machine Learning (Information Science and Statistics), Springer- Verlag, NY. Bushman F et al, (1996), Pattern-Oriented Software Architecture. Volume I. A System of Patterns, John Wiley and Sons, NY. Coker J, Casale J, Campbell G, Greene J (1970), Patterns for Jazz, Studio P/R. Evitts P (2000), A UML Pattern Language, Macmillan Technical Publishing, Indianapolis Gamma E, Helm R, Johnson R, Vlissides J (1998), Design Patterns, Elements of Reusable Object Oriented Software, John Wiley and Sons, NY. DeLeone (1971), Music: Patterns and Style, Addison-Weaslet, Reading, Mass. Dennett D C (1991), Real Patterns, in The Journal of Philosophy, 88 (1) pp. 27-51 De Sà M (2001), Pattern Recognition - Concepts, Methods And Applications, Springer-Verlag, NY. Duda R, Hart P, Stork D (2001), Pattern Classi fi cation, John Wiley and Sons, NY. Munari B. (1968), Design e comunicazione visiva, Laterza, Bari Mumford D, Desolneux A (2010), Pattern Theory: The Stochastic Analysis of Real-World Signals. A K Peters, Natick, Mass. Ockelford A, (2005), Repetition in music: theoretical and metatheoretical perspectives, Ashgate, London. Pavlidis T (1980), Structural Pattern Recognition, Springer-Verlag, NY.