Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...
Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers,...
Digital or ‘virtual’ currencies pose significant challenges for government, financial and legal institutions because of their non-physical nature and their relative anonymity to physical currency. These attributes make this form of exchange extremely volatile and, at the same time, attractive to criminals. Many countries around...
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a...
This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and...
Effectively analyzing large volumes of diverse logs can pose many challenges. Logging and Log Management helps to simplify this complex process using practical guidance and real-world examples. Packed with information you need to know for system, network and security logging. Log management and log analysis methods are covered in...
As one of the most important applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past 10 years. There are at least two reasons for this trend: the first is the wide range of commercial and law-enforcement applications, and the second is the availability of feasible...
Key Features Develop realistic and awesome machines for your 3D projects and animation films Gain the ability to look at a piece of machinery in real life and then recreate it in Blender Develop a comprehensive skill set covering key aspects of mechanical modeling Book Description Blender 3D is one of the top pieces of 3D animation software....
3D scene understanding and object recognition are among the grandest challenges in computer
vision. A wide variety of techniques and goals, such as structure from motion, optical flow, stereo,
edge detection, and segmentation, could be viewed as subtasks within scene understanding and
recognition. Many of these applicable methods are...
Clustering is an important unsupervised classification technique where a set of patterns,
usually vectors in multidimensional space, are grouped into clusters based
on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned
to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data...
Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the...
