In AI application in a real
... based techniques (1) Basic (algorithm-centred) techniques stem from studying: o Representation of shallow and deep knowledge o Reasoning (problem solving), including the pattern (or condition) matching problems o Learning and adaptation (supervised and/or unsupervised) o Search (including data minin ...
... based techniques (1) Basic (algorithm-centred) techniques stem from studying: o Representation of shallow and deep knowledge o Reasoning (problem solving), including the pattern (or condition) matching problems o Learning and adaptation (supervised and/or unsupervised) o Search (including data minin ...
PDF
... fields that identifies some of the forces that kept the fields at arm’s length. AI was generally marked by a very ambitious, long-term vision requiring expensive systems, although the term was rarely envisioned as being as long as it proved to be, whereas HCI focused more on innovation and improveme ...
... fields that identifies some of the forces that kept the fields at arm’s length. AI was generally marked by a very ambitious, long-term vision requiring expensive systems, although the term was rarely envisioned as being as long as it proved to be, whereas HCI focused more on innovation and improveme ...
Robots and DSP methods: History and perspectives
... Computer vision Computer vision includes cameras, which produce images over the same electromagnetic spectrum that humans see, to more exotic technologies: thermal sensors, X-rays, laser range finders, and synthetic aperature radar. computer vision is a separate field of study from robotics, and has ...
... Computer vision Computer vision includes cameras, which produce images over the same electromagnetic spectrum that humans see, to more exotic technologies: thermal sensors, X-rays, laser range finders, and synthetic aperature radar. computer vision is a separate field of study from robotics, and has ...
Comparison of Handwriting characters Accuracy using
... IV. MATERIALS AND METHODS The steps of the proposed comparison algorithms based on DCT, DWT and Gradient are described in Fig. 1. A. Image acquisition An image is acquired to the system as an input. This image should have a specific format, for example, png format. This image can be acquired through ...
... IV. MATERIALS AND METHODS The steps of the proposed comparison algorithms based on DCT, DWT and Gradient are described in Fig. 1. A. Image acquisition An image is acquired to the system as an input. This image should have a specific format, for example, png format. This image can be acquired through ...
a survey of computer graphics contents
... Computer Graphic is the discipline of producing picture or images using a computer which include modeling, creation, manipulation, storage of geometric objects, rendering, converting a scene to an image, the process of transformations, rasterization, shading, illumination, animation of the image, et ...
... Computer Graphic is the discipline of producing picture or images using a computer which include modeling, creation, manipulation, storage of geometric objects, rendering, converting a scene to an image, the process of transformations, rasterization, shading, illumination, animation of the image, et ...
Light-sensitive visualization of multimodal data for neurosurgical
... shining on the screen affects the visual perception of the data This work was supported in part by the NIH/NIBIB under grant R01 EB006494 (Papademetris, X. PI).) . ...
... shining on the screen affects the visual perception of the data This work was supported in part by the NIH/NIBIB under grant R01 EB006494 (Papademetris, X. PI).) . ...
Digital Image Processing, 2nd ed.
... Enhancement Using Arithmetic/Logic Operations • Two images of the same size can be combined using operations of addition, subtraction, multiplication, division, logical AND, OR, XOR and NOT. Such operations are done on pairs of their corresponding pixels. • Often only one of the images is a real pic ...
... Enhancement Using Arithmetic/Logic Operations • Two images of the same size can be combined using operations of addition, subtraction, multiplication, division, logical AND, OR, XOR and NOT. Such operations are done on pairs of their corresponding pixels. • Often only one of the images is a real pic ...
An Information Theoretic Approach to Reflectional Symmetry Detection
... other than an identity, which, applied to a given mathematical object, returns an object identical to the input [1]. Seldom does symmetry occur by accident. If two regions are symmetric it is highly probable that these regions are related in the real world, or even that they belong to the same objec ...
... other than an identity, which, applied to a given mathematical object, returns an object identical to the input [1]. Seldom does symmetry occur by accident. If two regions are symmetric it is highly probable that these regions are related in the real world, or even that they belong to the same objec ...
Coming of Age - Computational Creativity Group
... autonomous creative tasks, such as inventing mathematical theories, writing poems, painting pictures, and composing music. However, computational creativity studies also enable us to understand human creativity and to produce programs for creative people to use, where the software acts as a creative ...
... autonomous creative tasks, such as inventing mathematical theories, writing poems, painting pictures, and composing music. However, computational creativity studies also enable us to understand human creativity and to produce programs for creative people to use, where the software acts as a creative ...
Computer Science as Empirical Inquiry
... demonstrations of the sufficiency of these mechanisms to solve interesting problems. "In psychology, they were principal instigators of the idea that human cognition can be described in terms of a symbol system, and they have developed detailed theories for human problem solving, verbal learning and ...
... demonstrations of the sufficiency of these mechanisms to solve interesting problems. "In psychology, they were principal instigators of the idea that human cognition can be described in terms of a symbol system, and they have developed detailed theories for human problem solving, verbal learning and ...
Ray Tracing
... • No, Refraction and complex reflection for illumination are not handled properly in traditional (backward) ray tracing CSCI-6962 Advanced Computer Graphics ...
... • No, Refraction and complex reflection for illumination are not handled properly in traditional (backward) ray tracing CSCI-6962 Advanced Computer Graphics ...
Modeling Annotated Data - Computer Science, Columbia University
... the conditional distributions of latent variables given observed data under this joint distribution, but efficient variational inference methods are available to compute approximations to these conditionals (see [2] for details). Furthermore, we can use variational inference methods to find the cond ...
... the conditional distributions of latent variables given observed data under this joint distribution, but efficient variational inference methods are available to compute approximations to these conditionals (see [2] for details). Furthermore, we can use variational inference methods to find the cond ...
A Vector-like Architecture for Raster Graphics
... Obviously, there is nothing wrong with the first approach as long as it stays cost-effective and exhibits extensible (read "programmable'~) behavior. In fact, there are some well-known systems, commercial as well as experimental, which prove the power of this approach: Clark's Geometry Engine (which ...
... Obviously, there is nothing wrong with the first approach as long as it stays cost-effective and exhibits extensible (read "programmable'~) behavior. In fact, there are some well-known systems, commercial as well as experimental, which prove the power of this approach: Clark's Geometry Engine (which ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... to make them learn the right things. AIs could learn the same things as a rule-based system by watching a security officer work. AIs could also link together events that, by themselves, are insignificant but when combined may indicate that an attack is underway. AI and machine learning could be appl ...
... to make them learn the right things. AIs could learn the same things as a rule-based system by watching a security officer work. AIs could also link together events that, by themselves, are insignificant but when combined may indicate that an attack is underway. AI and machine learning could be appl ...
Authenticity and integrity of digital mammography images
... the mammography expert center, so that IMs from a remote examination site can be sent to the expert center in almost real time. Data security becomes a very important issue when mammographic images are transmitted in a public network. Fig. 1 gives an example of a digital mammogram with artificial ca ...
... the mammography expert center, so that IMs from a remote examination site can be sent to the expert center in almost real time. Data security becomes a very important issue when mammographic images are transmitted in a public network. Fig. 1 gives an example of a digital mammogram with artificial ca ...
- Lotus Live Projects
... challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propose an effective unsupervised label refinement (ULR) app ...
... challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propose an effective unsupervised label refinement (ULR) app ...
Mining Weakly Labeled Web Facial Images for Search Based Face
... challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propose an effective unsupervised label refinement (ULR) app ...
... challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propose an effective unsupervised label refinement (ULR) app ...
Operational Rationality through Compilation of Anytime Algorithms
... the predictability of utility change over time. High predictability of utility allows an efficient use of contract algorithms modified by various strategies for contract adjustment. The second type of domain is characterized by rapid change and a high level of uncertainty. In such domains, active mo ...
... the predictability of utility change over time. High predictability of utility allows an efficient use of contract algorithms modified by various strategies for contract adjustment. The second type of domain is characterized by rapid change and a high level of uncertainty. In such domains, active mo ...
10.5.4.2How It Works
... deeper tissue penetration, efficient light detection and reduced phototoxicity Two-photon excitation employs a concept first described by Maria Goeppert-Mayer (1906-1972) in her 1931 doctoral dissertation.[2], and first observed in 1962 in cesium vapor using laser excitation by Isaac Abella The conc ...
... deeper tissue penetration, efficient light detection and reduced phototoxicity Two-photon excitation employs a concept first described by Maria Goeppert-Mayer (1906-1972) in her 1931 doctoral dissertation.[2], and first observed in 1962 in cesium vapor using laser excitation by Isaac Abella The conc ...
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.