This function returns NULL when called for an MDI main frame window (CMDIFrameWnd). In an MDI application, the MDI main frame window does not have a view associated with it. Instead, each individual child window (CMDIChildWnd) has one or more associated views. The active view in an MDI application can be obtained by first Finding the active MDI child window and then Finding the active view for that child window.
From helping to assess the value of new medical treatments to evaluating the
factors that affect our opinions and behaviors, analysts today are Finding
myriad uses for categorical data methods. In this book we introduce these
methods and the theory behind them.
Statistical methods for categorical responses were late in gaining the level
of sophistication achieved early in the twentieth century by methods for
continuous responses. Despite influential work around 1900 by the British
statistician Karl Pearson, relatively little development of models for categorical
responses occurred until the 1960s. In this book we describe the early
fundamental work that still has importance today but place primary emphasis
on more recent modeling approaches. Before outlining
Generating Fractals with SSE/SSE2
You probably have heard about fractals before. They are beautiful pictures such as the one shown above. Any fractal can be described using iterative formulas. So you can generate a fractal by evaluating these formulas and Finding the color of each pixel. That is a large computational task, and drawing a fractal needs a fast CPU and a carefully optimized program.
In this paper, we describe the development of a rapidly reconfigurable system in which the users’ tacit knowledge and requirements are
elicited via a process of Interactive Evolution, Finding the image processing parameters to achieve the required goals without any need for
specialised knowledge of the machine vision system. We show that the resulting segmentation can be quickly and easily evolved from
scratch, and achieves detection rates comparable to those of a hand-tuned system on a hot-rolled steel defect recognition problem.
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves Finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
have recently become very interested in the area of genetic algorithms and Ant Colony Optimization techniques. I was determined to write a complete program demonstrating these two techniques. In particular I wanted to compare the efficiency of these two approaches in the area of Finding solutions to the Traveling Salesman Problem
The aip file contains few Matlab routines for 1D line scan analysis, 1D scaling, 2D scaling, image brightness or contrast variation routine and rouitne for Finding area between zero cossings of 1D times series.
This library defines basic operation on polynomials, and contains also 3 different roots (zeroes)-Finding methods that can handle quite large polynomials (>1000 coefs)
Implemented in ANSI C++ Templates. Handles all real and complex floating point types. Html doc is included.
This includes the project using a stereo vision to catch the ball shot from a high pressure air cannon. The trajectory of the ball is located first by Finding the ball color in the left and right camera. Then the trajectory is calculated to estimate the depth from the ball to the camera. The camera is calibrated to map the world coordinate to the camera coordinate and it can reach an accuracy over 90 . Enjoy
Cooperation has been the subject of intensive study in the social and biological
sciences, as well as in mathematics and artificial intelligence. The fundamental
Finding is that even egoists can sustain cooperation provided the structure of
their environment allows for repeated interactions (Axelrod 1984).
