No Slide Title
... The general problem: associate N-dimensional space curves with object affordances A special case: The recognition of two (or three) dimensional trajectories in physical space Simplest solution: Map temporal information into spatial domain. Then apply known pattern recognition techniques. Problem wit ...
... The general problem: associate N-dimensional space curves with object affordances A special case: The recognition of two (or three) dimensional trajectories in physical space Simplest solution: Map temporal information into spatial domain. Then apply known pattern recognition techniques. Problem wit ...
Local Scale Control for Edge Detection and Blur Estimation
... increases with time (edge enhancement). Unfortunately, there is no principled way of choosing this threshold even for a single image, since important edges generate a broad range of gradients, determined by contrast and degree of blur. Sensor noise, on the other hand, can generate very steep gradien ...
... increases with time (edge enhancement). Unfortunately, there is no principled way of choosing this threshold even for a single image, since important edges generate a broad range of gradients, determined by contrast and degree of blur. Sensor noise, on the other hand, can generate very steep gradien ...
In Honor of Marvin Minsky`s Contributions on his 80th Birthday
... think underplays some of our most important evolved abilities shared with some other animals, especially perception and manipulation of complex three-dimensional structures with complex causal interactions. Explaining common sense strikes me as probably the hardest unsolved problem in AI, with impli ...
... think underplays some of our most important evolved abilities shared with some other animals, especially perception and manipulation of complex three-dimensional structures with complex causal interactions. Explaining common sense strikes me as probably the hardest unsolved problem in AI, with impli ...
Get Smart: How Intelligent Technology will Enhance
... perhaps the most appealing is the ScreenFridge, the smart refrigerator developed by Swedish appliance manufacturer Electrolux. ScreenFridge is a large American-style refrigerator equipped with a touch screen, keyboard, video camera, microphone and speaker. When you put something in the ScreenFridge, ...
... perhaps the most appealing is the ScreenFridge, the smart refrigerator developed by Swedish appliance manufacturer Electrolux. ScreenFridge is a large American-style refrigerator equipped with a touch screen, keyboard, video camera, microphone and speaker. When you put something in the ScreenFridge, ...
Chapter 12
... • In some decision situations, the support of data and models may not be sufficient. Additional support is needed, such as that provided by rule-base expert systems (ES) to substitute for human expertise by supplying knowledge. • Knowledge-based systems (KBS) Technologies that use qualitative knowle ...
... • In some decision situations, the support of data and models may not be sufficient. Additional support is needed, such as that provided by rule-base expert systems (ES) to substitute for human expertise by supplying knowledge. • Knowledge-based systems (KBS) Technologies that use qualitative knowle ...
Fuzzy Algorithms for Pattern Recognition in Medical
... structures obtained from the same anatomical positions. In diagnosis and prognosis using magnetic resonance imaging (MRI), segmentation is often required to extract the interested and meaningful structure on MR data and is considered as an important basic operation for meaningful analysis and interp ...
... structures obtained from the same anatomical positions. In diagnosis and prognosis using magnetic resonance imaging (MRI), segmentation is often required to extract the interested and meaningful structure on MR data and is considered as an important basic operation for meaningful analysis and interp ...
Analysis of Machine Learning Techniques for Intrusion Detection
... Intrusions. There are many machine learning techniques used in Intrusion Detection System and they comprised single, hybrid and ensemble classifiers. Many resources have been used on various machine learning techniques. These techniques work very well for IDS but it is known that there is not even a ...
... Intrusions. There are many machine learning techniques used in Intrusion Detection System and they comprised single, hybrid and ensemble classifiers. Many resources have been used on various machine learning techniques. These techniques work very well for IDS but it is known that there is not even a ...
Definition of a `Robot`
... Typically, hydraulic or pneumatic pistons move robot legs back and forth. The pistons attach to different leg segments just like muscles attach to different bones. It's a real trick getting all these pistons to work together properly. As a baby, your brain had to figure out exactly the right combina ...
... Typically, hydraulic or pneumatic pistons move robot legs back and forth. The pistons attach to different leg segments just like muscles attach to different bones. It's a real trick getting all these pistons to work together properly. As a baby, your brain had to figure out exactly the right combina ...
A Review of Human Activity Recognition Methods
... Human activity recognition plays a significant role in human-to-human interaction and interpersonal relations. Because it provides information about the identity of a person, their personality, and psychological state, it is difficult to extract. The human ability to recognize another person’s activ ...
... Human activity recognition plays a significant role in human-to-human interaction and interpersonal relations. Because it provides information about the identity of a person, their personality, and psychological state, it is difficult to extract. The human ability to recognize another person’s activ ...
Document
... The first natural language understanding systems were built on the assumption that the s y n t a z of a sentence sufficed to give its meaning. The first simple information retrieval parser (BASEBALL) was written a t Lincoln Laboratories in 1963 (Green et al., 1963). Weizenbaum's famous ELIZA progra ...
... The first natural language understanding systems were built on the assumption that the s y n t a z of a sentence sufficed to give its meaning. The first simple information retrieval parser (BASEBALL) was written a t Lincoln Laboratories in 1963 (Green et al., 1963). Weizenbaum's famous ELIZA progra ...
md hassan - Computer and Information Science
... solving and knowledge representation, pattern recognition, clustering, distributed problem solving and planning, multimodal interfaces and image interpretation.[11] [12] Geoffrey Hinton: British computer scientist most noted for his work on the mathematics and applications of neural networks, and th ...
... solving and knowledge representation, pattern recognition, clustering, distributed problem solving and planning, multimodal interfaces and image interpretation.[11] [12] Geoffrey Hinton: British computer scientist most noted for his work on the mathematics and applications of neural networks, and th ...
Illumination from Shadows
... and those approaches were difficult to be extended for more natural illumination conditions [11], [13], [30], [33], [36], or multiple input images taken from different viewing angles were necessary [17], [23]. In this study, we present a method for recovering an illumination distribution of a scene ...
... and those approaches were difficult to be extended for more natural illumination conditions [11], [13], [30], [33], [36], or multiple input images taken from different viewing angles were necessary [17], [23]. In this study, we present a method for recovering an illumination distribution of a scene ...
Rīgas Tehniskā universitāte
... Intelligent systems in the context of this work fall into two groups – autonomous and supervised. The autonomous systems unlike the supervised ones can operate using their own experience without human (supervisor) intervention or help [1]. The development of autonomous systems faces with wide range ...
... Intelligent systems in the context of this work fall into two groups – autonomous and supervised. The autonomous systems unlike the supervised ones can operate using their own experience without human (supervisor) intervention or help [1]. The development of autonomous systems faces with wide range ...
DOC
... since it is generally more intuitive (though we are not sure that it is clear in all cases; does “Music : Electronic” convey the idea of a music website?). It would be helpful to be able to distinguish between resources that are accessed remotely vs. directly accessed resources with a tangible carri ...
... since it is generally more intuitive (though we are not sure that it is clear in all cases; does “Music : Electronic” convey the idea of a music website?). It would be helpful to be able to distinguish between resources that are accessed remotely vs. directly accessed resources with a tangible carri ...
image compression and decompression using
... inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve spe ...
... inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve spe ...
Computer Engineering - Информационная система университета
... components to work together. It consists of a set of programs that manages all the computer's resources, including the data in main memory and in auxiliary storage. chassis (n) - the frame, base of a device, equipment or a vehicle onto which the metal covering is fixed; semiconductor (n) - a materia ...
... components to work together. It consists of a set of programs that manages all the computer's resources, including the data in main memory and in auxiliary storage. chassis (n) - the frame, base of a device, equipment or a vehicle onto which the metal covering is fixed; semiconductor (n) - a materia ...
Institutionen för systemteknik Department of Electrical Engineering Examensarbete
... situations where there is no knowledge at all about the overlap or where an overlapping scan needs to be found before aligning can be done. An example of such a situation is when a robot is put in an arbitrary location without being given any knowledge about its pose. This is often called the kidnap ...
... situations where there is no knowledge at all about the overlap or where an overlapping scan needs to be found before aligning can be done. An example of such a situation is when a robot is put in an arbitrary location without being given any knowledge about its pose. This is often called the kidnap ...
2. Computers: The Machines Behind Computing.
... • Software is all the programs that run a computer system • Computer languages include machine, assembly, high-level, fourth- and fifthgeneration languages Copyright ©2016 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly acce ssible website, in ...
... • Software is all the programs that run a computer system • Computer languages include machine, assembly, high-level, fourth- and fifthgeneration languages Copyright ©2016 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly acce ssible website, in ...
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.