Historical Analysis: Using the Past to Design the Future

historical texts, first-hand sources of popular culture such as magazines and catalogues, and patents. Then, we describe how this historical research led to the development of a new data collecting tool, the ‘memory scrapbook’, used to elicit additional historical data from study participants. Finally, we describe how our in-

  Historical

Usability Principles

Ideally, users should be able to drag any content from any window to any other window that accepts the content’s type. If the source and destination are not visible at the same time, the user can create a clipping by dragging data to a Finder window; the clipping can then be dragged into another application window at another time.

  Content

Handbook of Robotics Chapter 1: Kinematics

Handbook of Robotics Chapter 1: Kinematics Ken Waldron Department of Mechanical Engineering Stanford University Stanford, CA 94305, USA Jim Schmiedeler Department of Mechanical Engineering The Ohio State University Columbus, OH 43210, USA September 17, 2007. Contents 1 Kinematics 1

  Handbook, Chapter, Robotic, Kinematics, Handbook of robotics chapter 1, 1 kinematics 1

Three Levels of War=CADRE-excerpt - College of Computing

commanders, the operational level is usually the concern of theater commands, and the tactical level is usually the focus of subtheater commands. Each level is concerned with planning (making strategy), which involves analyzing the situation, estimating friendly and enemy capabilities and limitations, and devising possible courses of action.

  Commander

Bayesian Decision Theory - gatech.edu

Bayesian Decision Theory Chapter2 (Duda, Hart & Stork) CS 7616 - Pattern Recognition Henrik I Christensen Georgia Tech. Bayesian Decision Theory • Design classifiers to recommend decisionsthat ... – This is a 1-D optimization problem, regardless to the dimensionality

  Optimization, Bayesian

Do Artifacts Have Politics?

Do Artifacts Have Politics? In controversies about technology and society, there is no idea more pro vocative than the notion that technical things have political qualities. At issue is the claim that the machines, structures, and systems of modern material culture

  Have, Politics, Artifacts, Do artifacts have politics

Photo Tampering Throughout History - College of Computing

digital images is becoming more common. Here, I have collected some examples of tampering throughout history. To help contend with the implications of this tampering, we have developed a series of tools for detecting traces of tampering in digital images (contact me at Ma'at Consulting for more information about our services).

  Digital

Survey of Clustering Data Mining Techniques

talk about algorithms like DIGNET, about BIRCH and other data squashing techniques, and about Hoffding or Chernoff bounds. Another trait of real-life data is its high dimensionality. Corresponding developments are surveyed in the section Clustering High Dimensional Data. The trouble comes from a decrease in metric separation when the dimension ...

  Data, Survey, Mining, Technique, Birch, Clustering, Survey of clustering data mining techniques

Time-Varying Parameter VAR Model with Stochastic ...

the random walk process. The estimation algorithm for the random-walk case requires . In the case of , the log-volatility follows only a slight modification for the algorithm developed below.2 We can consider reduced models in the class of the TVP regression model. If the regression has only constant coefficients (i.e., z

  Random

Chapter 12 Bayesian Inference - Carnegie Mellon University

The probability statement is about the random interval C. The interval is random because it is a function of the data. The parameter is a fixed, unknown quantity. The statement means that C will trap the true value with probability 0.95. To make the meaning clearer, suppose we repeat this experiment many times. In fact, we

  Chapter, Inference, Random, Bayesian, Chapter 12 bayesian inference

VideoMAE: Masked Autoencoders are Data-Efficient Learners ...

of masking random cubes and reconstructing the missing ones. However, the extra time dimension of videos makes it different from images in this masked modeling. First, video frames are often densely captured, and their semantics varies slowly in time (Zhang & Tao,2012). This temporal redun-dancy would increase the risk of recovering missing pixels

  Random

UNDERSTANDING WHITE PRIVILEGE - American University

The Random House Dictionary (1993) defines privilege as “a right, immunity, or benefit enjoyed only by a person beyond the advantages of most.” In her article, “White Privilege and Male Privilege,” Peggy McIntosh (1995) reminds us that those of us who are white usually believe that privileges are “conditions of ...

  American, University, Understanding, White, Privileges, Random, American university, Understanding white privilege

MEASUREMENT ERROR MODELS - Stanford University

XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrumental variables, double measurements, ... Given a random sample of nobservations (y i,x i) on (y,x), the least squares estimator is given by: βˆ = P n j=1 (x j−x ...

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ciwhatif hernanrobins 31dec20 - Harvard University

INTRODUCTION: TOWARDS LESS CASUAL CAUSAL INFERENCES Causal Inference is an admittedly pretentious title for a book. A complex scientific task, causal inference relies on triangulating evidence from multiple