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... a detection range up to 150 m. Each radar point is presented by a triangle that is associated with a bar, whose length and direction indicate the relative speed of an object. As a rudimentary but necessary attention selection mechanism, we discarded radar returns more than 80 m in distance ahead or ...
... a detection range up to 150 m. Each radar point is presented by a triangle that is associated with a bar, whose length and direction indicate the relative speed of an object. As a rudimentary but necessary attention selection mechanism, we discarded radar returns more than 80 m in distance ahead or ...
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Paper []
... have similar images, so the dominant problem is perceptual aliasing. With richer sensors such as vision or laser rangefinders, discriminating features are more likely to be present in the image, but so are noise and dynamic changes, so the dominant problem for recognition becomes image variability. ...
... have similar images, so the dominant problem is perceptual aliasing. With richer sensors such as vision or laser rangefinders, discriminating features are more likely to be present in the image, but so are noise and dynamic changes, so the dominant problem for recognition becomes image variability. ...
Reading Music From Images
... is observed for the rest of the slices, so the same procedure is applied for them as well. Each of the slices from the previous step is passed into a color distribution procedure. Since 256 is 162 , the range for the distribution is set to 16 and then 16 different layers are extracted from the slice ...
... is observed for the rest of the slices, so the same procedure is applied for them as well. Each of the slices from the previous step is passed into a color distribution procedure. Since 256 is 162 , the range for the distribution is set to 16 and then 16 different layers are extracted from the slice ...
Masters in Artificial Intelligence
... required to complete programming assignments within other MSc modules. Students complete a number of practical exercises in laboratory sessions. Programme module type: ...
... required to complete programming assignments within other MSc modules. Students complete a number of practical exercises in laboratory sessions. Programme module type: ...
AngelCG27 - UNM Computer Science
... and stay in the range (0,1) • However, in a typical system, RGBA values are only stored to 8 bits - Can easily loose accuracy if we add many components together - Example: add together n images • Divide all color components by n to avoid clamping • Blend with source factor = 1, destination factor = ...
... and stay in the range (0,1) • However, in a typical system, RGBA values are only stored to 8 bits - Can easily loose accuracy if we add many components together - Example: add together n images • Divide all color components by n to avoid clamping • Blend with source factor = 1, destination factor = ...
Computerized Medical Imaging and Graphics Acquisition
... method especially due to the time-consuming and user-dependent operation. In order to obtain more accurate motion correction, registration techniques have been designed to allow more local control. Meijering et al. [8] proposed a Block-Matching based non-rigid registration technique that yielded sat ...
... method especially due to the time-consuming and user-dependent operation. In order to obtain more accurate motion correction, registration techniques have been designed to allow more local control. Meijering et al. [8] proposed a Block-Matching based non-rigid registration technique that yielded sat ...
Deep Machine Learning—A New Frontier in Artificial Intelligence
... computational models for information overcoming “the curse” has been to representation that exhibit similar charpre-process the data in a manner that acteristics to that of the neocortex. would reduce its dimensionality to that In addition to the spatial dimensionwhich can be effectively processed, ...
... computational models for information overcoming “the curse” has been to representation that exhibit similar charpre-process the data in a manner that acteristics to that of the neocortex. would reduce its dimensionality to that In addition to the spatial dimensionwhich can be effectively processed, ...
A Picture is Worth a Thousand Words …but not a Thousand Kilobytes!
... The resolution of an image can be changed within an imageediting program such as Photoshop. The resolution of an image is commonly expressed as dpi (dots per inch). Selecting a resolution will depend upon the proposed 'end use' of the digital image. Some uses, such as high quality printed material, ...
... The resolution of an image can be changed within an imageediting program such as Photoshop. The resolution of an image is commonly expressed as dpi (dots per inch). Selecting a resolution will depend upon the proposed 'end use' of the digital image. Some uses, such as high quality printed material, ...
PowerPoint
... • 1982 – Tron (first extensive use of gfx) • 1982 – Early use of particle systems (Star Trek II: The Wrath of Khan) • 1984 – The Last Starfighter (look for the Cray X-MP in credits) ...
... • 1982 – Tron (first extensive use of gfx) • 1982 – Early use of particle systems (Star Trek II: The Wrath of Khan) • 1984 – The Last Starfighter (look for the Cray X-MP in credits) ...
dept of computer sciences - University Of Nigeria Nsukka
... and prototype development centre for the computer industry in the country. The Postgraduate programme of the department is designed to produce graduates in computer hardware and software development. The programme also places a strong emphasis on interdisciplinary cooperation between the Department ...
... and prototype development centre for the computer industry in the country. The Postgraduate programme of the department is designed to produce graduates in computer hardware and software development. The programme also places a strong emphasis on interdisciplinary cooperation between the Department ...
Terminology Appendix
... spatial resolution increases.) Scintillator – A material that absorbs x-ray energy and re-emits part of that energy as visible light. Indirect TFT flat panel detectors use a scintillator. Two modern high-efficiency x-ray scintillators are cesium iodide and gadolinium Oxysulfide. Cesium iodide is hyg ...
... spatial resolution increases.) Scintillator – A material that absorbs x-ray energy and re-emits part of that energy as visible light. Indirect TFT flat panel detectors use a scintillator. Two modern high-efficiency x-ray scintillators are cesium iodide and gadolinium Oxysulfide. Cesium iodide is hyg ...
2009_Computers_Brains_Extra_Mural
... Neural computing systems are trained on the principle that if a network can compute then it will learn to compute. Multi-net neural computing systems are trained on the principle that if two or more networks learn to compute simultaneously or sequentially , then the multi-net will learn to compute. ...
... Neural computing systems are trained on the principle that if a network can compute then it will learn to compute. Multi-net neural computing systems are trained on the principle that if two or more networks learn to compute simultaneously or sequentially , then the multi-net will learn to compute. ...
Artificial Intelligence in Cyber Defense - CCDCOE
... belonging to so called narrow AI. A different case is translating from one language into another that requires general AI. In sixties of the last century, especially after N. Chomski’s work in structural linguistics, it was expected that the natural language translation problem will be solved soon. ...
... belonging to so called narrow AI. A different case is translating from one language into another that requires general AI. In sixties of the last century, especially after N. Chomski’s work in structural linguistics, it was expected that the natural language translation problem will be solved soon. ...
Permission
... of three-dimensional objects in three-dimensional space. The objects we ”see” are perceptual interpretations based on the visual information available in the perceived images. They are not a direct registration of physical reality [26]. In natural settings, for stationary observers, scale and distan ...
... of three-dimensional objects in three-dimensional space. The objects we ”see” are perceptual interpretations based on the visual information available in the perceived images. They are not a direct registration of physical reality [26]. In natural settings, for stationary observers, scale and distan ...
Slides ClassSlides - School of Computer Science
... colour axes (e.g., red, green, blue), the colour histogram is obtained by discretizing the image colours and counting the number of times each discrete colour occurs in the image. The image colours that are transformed to a common discrete colour are usefully thought of as being in the same 3D his ...
... colour axes (e.g., red, green, blue), the colour histogram is obtained by discretizing the image colours and counting the number of times each discrete colour occurs in the image. The image colours that are transformed to a common discrete colour are usefully thought of as being in the same 3D his ...
Artificial Intelligence
... This is what a few Microsoft leading scientists said in recent interviews. AI has become a popular topic in the media and in scientific magazines, due to several achievements, many of them thanks to the developments in machine learning. Major companies including Google, Facebook, IBM, Microsoft but ...
... This is what a few Microsoft leading scientists said in recent interviews. AI has become a popular topic in the media and in scientific magazines, due to several achievements, many of them thanks to the developments in machine learning. Major companies including Google, Facebook, IBM, Microsoft but ...
Introduction
... A digital image f [m, n] described in a 2D discrete space is derived from an analog image f ( x, y ) in a 2D continuous space through a sampling process that is frequently referred to as digitization. The mathematics of that sampling process will be described in subsequent Chapters. For now we will ...
... A digital image f [m, n] described in a 2D discrete space is derived from an analog image f ( x, y ) in a 2D continuous space through a sampling process that is frequently referred to as digitization. The mathematics of that sampling process will be described in subsequent Chapters. For now we will ...
Master of Science (Computer Science)
... Introduction to network communication issues and special purpose systems such as real time systems, transaction processing systems, and client-server technology. Network Operating Systems; Distributed Operating Systems. ...
... Introduction to network communication issues and special purpose systems such as real time systems, transaction processing systems, and client-server technology. Network Operating Systems; Distributed Operating Systems. ...
Chapter 5
... • If you have ever used a painting program (such as Paint, which comes with the Windows operating system), you will be familiar with the idea of creating computer images • Photoshop lets you do far more than just paint, however • It also includes tools for – advanced techniques – filters for applyin ...
... • If you have ever used a painting program (such as Paint, which comes with the Windows operating system), you will be familiar with the idea of creating computer images • Photoshop lets you do far more than just paint, however • It also includes tools for – advanced techniques – filters for applyin ...
Recent and Current Artificial Intelligence Research in
... capable of representing and reasoning about the cognitive attitudes of intelligent agents. The agents include users, other AI systems, and the system itself; the cognitive attitudes include beliefs, knowledge, goals, and desires. The system will be able to represent nested attitudes; it will be sens ...
... capable of representing and reasoning about the cognitive attitudes of intelligent agents. The agents include users, other AI systems, and the system itself; the cognitive attitudes include beliefs, knowledge, goals, and desires. The system will be able to represent nested attitudes; it will be sens ...
Advanced Applications of Neural Networks and Artificial Intelligence
... so on are very important. So Neural networks can be applied for classification of noisy signals from sensitive signals and improve the accuracy of mental task classification [18]. Like other communication and control Systems, BCI‟s have inputs, outputs, and translation algorithms that convert the Fo ...
... so on are very important. So Neural networks can be applied for classification of noisy signals from sensitive signals and improve the accuracy of mental task classification [18]. Like other communication and control Systems, BCI‟s have inputs, outputs, and translation algorithms that convert the Fo ...
The calculus of self-modifiable algorithms: planning, scheduling and
... therefore they possess a certain degree of self-knowledge and this, together with its built-in optimization mechanism provide goal directed modifications of programs or algorithms so that completely new forms of algorithms can be built to achieve the goal with minimal cost. SMAs are based on mathema ...
... therefore they possess a certain degree of self-knowledge and this, together with its built-in optimization mechanism provide goal directed modifications of programs or algorithms so that completely new forms of algorithms can be built to achieve the goal with minimal cost. SMAs are based on mathema ...
artificial intelligence: engineering, science, or slogan?
... the creator not only of powerful knowledge representation languages, but also of techniques and systems that manipulate knowledge to produce useful results. In this respect, AI is analogous to a combination of applied mathematics, numerical analysis, and those portions of computer systems technology ...
... the creator not only of powerful knowledge representation languages, but also of techniques and systems that manipulate knowledge to produce useful results. In this respect, AI is analogous to a combination of applied mathematics, numerical analysis, and those portions of computer systems technology ...
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.As a technological discipline, computer vision seeks to apply its theories and models to the construction of computer vision systems.Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, object pose estimation, learning, indexing, motion estimation, and image restoration.