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Pattern recognition

Pattern recognition
Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. In contrast to pattern recognition, pattern matching is generally not considered a type of machine learning, although pattern-matching algorithms (especially with fairly general, carefully tailored patterns) can sometimes succeed in providing similar-quality output to the sort provided by pattern-recognition algorithms. Overview[edit] Probabilistic classifiers[edit] They output a confidence value associated with their choice. . to output labels . . . where

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Psychophysics Psychophysics also refers to a general class of methods that can be applied to study a perceptual system. Modern applications rely heavily on threshold measurement,[3] ideal observer analysis, and signal detection theory.[4] Psychophysics has widespread and important practical applications. As just one example, in the study of digital signal processing, psychophysics has informed the development of models and methods of lossy compression. Hypergraphy Hypergraphy, also called hypergraphics and metagraphics, is a critical method developed by the Lettrist movement in the 1950s, which encompasses a synthesis of writing and other forms of media.[1] Isidore Isou, the founder of Lettrism, said that "Metagraphics or post-writing, encompassing all the means of ideographic, lexical and phonetic notation, supplements the means of expression based on sound by adding a specifically plastic dimension, a visual facet which is irreducible and escapes oral labelling...

What is Pattern Analysis? PATN is a software package that performs Pattern Analysis. PATN aims to try and display patterns in complex data. Complex in PATN's terms, means that you have at least 6 objects that you want to know something about and a suite of more than 4 variables that describe those objects. Data must be in the form of a spreadsheet of rows (the objects in PATN) and the columns (variables), as in Microsoft Excel™. There are usually around 7 components to a 'realistic' (read as adequate, comprehensive, fair, reasonable or intelligent) pattern analysis in PATN-

Pattern recognition (psychology) The incoming sensory information is compared directly to copies (templates) stored in the long term memory. These copies are stored in the process of our past experiences and learning. E.g. A A A are all recognized as the letter A but not B. Note: This does not allow for variation in letters unless there are templates for each variation. Prototype means a concept of average characteristics of a particular subject. Outline of object recognition Object recognition - in computer vision is the task of finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points, in many different sizes / scale or even when they are translated or rotated. Objects can even be recognized when they are partially obstructed from view. This task is still a challenge for computer vision systems. Many approaches to the task have been implemented over multiple decades.

Psychogeography evoL PsychogeogrAphix 2003 evoL PsychogeogrAphix 2004 evoL PsychogeogrAphix 2005 Psychogeography is an approach to geography that emphasizes playfulness and "drifting" around urban environments. It has links to the Situationist International. NodeXL Graph Gallery: Graph Details The graph represents a network of 1,613 Twitter users whose recent tweets contained "#agchat", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 13 December 2016 at 16:56 UTC. The tweets in the network were tweeted over the 9-day, 18-hour, 37-minute period from Saturday, 03 December 2016 at 22:04 UTC to Tuesday, 13 December 2016 at 16:42 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions". The graph is directed. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Mathematicians Predict the Future With Data From the Past Peter Turchin. Image: Peter Turchin. In Isaac Asimov’s classic science fiction saga Foundation, mathematics professor Hari Seldon predicts the future using what he calls psychohistory. Drawing on mathematical models that describe what happened in the past, he anticipates what will happen next, including the fall of the Galactic Empire. That may seem like fanciful stuff. Time perception Time perception is a field of study within psychology and neuroscience that refers to the subjective experience of time, which is measured by someone's own perception of the duration of the indefinite and continuous unfolding of events. The perceived time interval between two successive events is referred to as perceived duration. Another person's perception of time cannot be directly experienced or understood, but it can be objectively studied and inferred through a number of scientific experiments. Time perception is a construction of the brain that is manipulable and distortable under certain circumstances.

Easily embarrassed? Study finds people will trust you more If tripping in public or mistaking an overweight woman for a mother-to-be leaves you red-faced, don’t feel bad. A new study from the University of California, Berkeley, suggests that people who are easily embarrassed are also more trustworthy, and more generous. In short, embarrassment can be a good thing. Psychologist Dacher Keltner, a coauthor of the study, demonstrates a typical gesture of embarrassment New DataBasic Tool Lets You “Connect the Dots” in Data Catherine D'Ignazio and I have launched a new DataBasic tool and activity, Connect the Dots, aimed at helping students and educators see how their data is connected with a visual network diagram. By showing the relationships between things, networks are useful for finding answers that aren’t readily apparent through spreadsheet data alone. To that end, we’ve built Connect the Dots to help teach how analyzing the connections between the “dots” in data is a fundamentally different approach to understanding it. The new tool gives users a network diagram to reveal links as well as a high level report about what the network looks like. Using network analysis helped Google revolutionize search technology and was used by journalists who investigated the connections between people and banks during the Panama Papers Leak.