1. View-Concepts: Knowledge-Based Access to
... Both of these can result in dramatic performance increases, because DB execution time dominates total LIM processing time for all but the largest of queries (as detailed in Section 5). A “hit” on the LIM results cache returns results almost intantaneously, since the query need not even be translated ...
... Both of these can result in dramatic performance increases, because DB execution time dominates total LIM processing time for all but the largest of queries (as detailed in Section 5). A “hit” on the LIM results cache returns results almost intantaneously, since the query need not even be translated ...
query expansion using wordnet with a logical model - CiTIUS
... In all experiments we selected only the synonyms for expansion. Although the initial idea was to include also hyponyms, the nature of hyponyms in WordNet is inadequate for expansion. Usually there are too many to include all without a lot of noise. In most cases only one of the hyponyms is equivalen ...
... In all experiments we selected only the synonyms for expansion. Although the initial idea was to include also hyponyms, the nature of hyponyms in WordNet is inadequate for expansion. Usually there are too many to include all without a lot of noise. In most cases only one of the hyponyms is equivalen ...
ObjectRecognition - CIS @ Temple University
... The project will examine, discuss and simulate the Object Recognition/Navigation environment, while considering real life applications of Object Recognition/Navigation in Artificial Intelligence. Included in the project will be a simulation program demonstrating how Artificial Intelligence functions ...
... The project will examine, discuss and simulate the Object Recognition/Navigation environment, while considering real life applications of Object Recognition/Navigation in Artificial Intelligence. Included in the project will be a simulation program demonstrating how Artificial Intelligence functions ...
Seminar Slides - CSE, IIT Bombay
... Since when is it around? How does it work? How do you test it? Can it answer all my questions? Can I make one of my own? Where can I put it to work? ...
... Since when is it around? How does it work? How do you test it? Can it answer all my questions? Can I make one of my own? Where can I put it to work? ...
Theorem-Proving by Resolution as a Basis for
... may be a good approach to the achievement of generality for several reasons: I. The language is well defined, unambiguous, and rather general, so that one may hope to describe many desired subjects, questions, or answers. 2. The proof procedure used allows all possible interaction among the axioms a ...
... may be a good approach to the achievement of generality for several reasons: I. The language is well defined, unambiguous, and rather general, so that one may hope to describe many desired subjects, questions, or answers. 2. The proof procedure used allows all possible interaction among the axioms a ...
BNAIC05.pdf
... on the syntactic or semantic relevance, we select some consistent sub-theory from an inconsistent ontology. Then we apply standard reasoning on the selected sub-theory to find meaningful answers. If a satisfying answer cannot be found, the relevance degree of the selection function is made less rest ...
... on the syntactic or semantic relevance, we select some consistent sub-theory from an inconsistent ontology. Then we apply standard reasoning on the selected sub-theory to find meaningful answers. If a satisfying answer cannot be found, the relevance degree of the selection function is made less rest ...
Improving CNN Performance with Min-Max Objective
... example, it is reported that increasing the number of training samples from 1M to 14M from the ImageNet dataset only improved the image classification accuracy by 1%1 . There are also methods that aim to improve training of CNN models to enhance performances. For instance, different types of activat ...
... example, it is reported that increasing the number of training samples from 1M to 14M from the ImageNet dataset only improved the image classification accuracy by 1%1 . There are also methods that aim to improve training of CNN models to enhance performances. For instance, different types of activat ...
What is AI?
... As an example, RoboCup (http://www.robocup.org/) is an international competition that has the following goal: “By the year 2050, develop a team of fully autonomous humanoid robots that can win against the human world soccer champion team.” • Language understanding and problem solving Proverb is a pr ...
... As an example, RoboCup (http://www.robocup.org/) is an international competition that has the following goal: “By the year 2050, develop a team of fully autonomous humanoid robots that can win against the human world soccer champion team.” • Language understanding and problem solving Proverb is a pr ...
beekman7_ppt_15
... but most try to design intelligent machines independent of the way people think Successful AI research generally involves working on problems with limited domains rather than trying to tackle large, openended problems AI programs employ a variety of techniques, including searching, heuristics, patte ...
... but most try to design intelligent machines independent of the way people think Successful AI research generally involves working on problems with limited domains rather than trying to tackle large, openended problems AI programs employ a variety of techniques, including searching, heuristics, patte ...
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 ...
Proximity Searching in High Dimensional Spaces with a Proximity
... Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usually very high dimensional. Unfortunately, no proximity search algorithm does well in high dimensions. An alternative to o ...
... Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usually very high dimensional. Unfortunately, no proximity search algorithm does well in high dimensions. An alternative to o ...
Neural Robot Detection in RoboCup
... individual subwindows, the less problematic are ROIs that do not match a robot exactly (in size or in position), but on the other hand, the result is getting less specific. The number of subwindows in both directions controls how exact the shape representation will be. This is again a decision betwe ...
... individual subwindows, the less problematic are ROIs that do not match a robot exactly (in size or in position), but on the other hand, the result is getting less specific. The number of subwindows in both directions controls how exact the shape representation will be. This is again a decision betwe ...
Foundations and Grand Challenges of Artificial Intelligence
... same role in artificial intelligence that the studies of E. Coli play in biology. It illustrates and illuminates many problems that arise in AI and leads to techniques that can be generalized to work on other problems. Chess is perhaps one area which has been studied continuously since the birth of ...
... same role in artificial intelligence that the studies of E. Coli play in biology. It illustrates and illuminates many problems that arise in AI and leads to techniques that can be generalized to work on other problems. Chess is perhaps one area which has been studied continuously since the birth of ...
ttay8_ppt_15b
... behavior, but most try to design intelligent machines independent of the way people think. Successful AI research generally involves working on problems with limited domains rather than trying to tackle large, open-ended problems. AI programs employ a variety of techniques, including searching, heur ...
... behavior, but most try to design intelligent machines independent of the way people think. Successful AI research generally involves working on problems with limited domains rather than trying to tackle large, open-ended problems. AI programs employ a variety of techniques, including searching, heur ...
Image Texture Classification using Gray Level Co
... to similar look textures and different look textures. In the fourth experiment, the ability of the proposed classifier system is evaluated when the original image is corrupted under different degree of Gaussian white noise. In this experiment, the mean and variance value of the Gaussian white noise ...
... to similar look textures and different look textures. In the fourth experiment, the ability of the proposed classifier system is evaluated when the original image is corrupted under different degree of Gaussian white noise. In this experiment, the mean and variance value of the Gaussian white noise ...
ELIZA/DOCTOR PROGRAM Introduction Working
... Reactions to ELIZA and the “ELIZA Effect” As Weizenbaum discovered, many subjects who experimented with ELIZA got emotionally attached to it. Many did so despite Weizenbaum’s informing them that there is no intelligence involved and that in fact ELIZA is not ‘answering’ them but only regurgitating ...
... Reactions to ELIZA and the “ELIZA Effect” As Weizenbaum discovered, many subjects who experimented with ELIZA got emotionally attached to it. Many did so despite Weizenbaum’s informing them that there is no intelligence involved and that in fact ELIZA is not ‘answering’ them but only regurgitating ...
Could a machine think? - Alan M. Turing vs. John R. Searle
... opposition to Searle – that there is “little point in trying to make “a thinking machine” more human by dressing it up in [...] artificial [but humanlike] flesh.” 27 Digital computers are discrete-state machines. Such a machine moves by sudden clicks from one (quite) definite state to another. Furth ...
... opposition to Searle – that there is “little point in trying to make “a thinking machine” more human by dressing it up in [...] artificial [but humanlike] flesh.” 27 Digital computers are discrete-state machines. Such a machine moves by sudden clicks from one (quite) definite state to another. Furth ...
Neural Networks Coursework
... • Contrast with single modality of classification in magnitude or articulation SOM • Compared with a single SOM classifier – 16 by 16 neurons – Trained on combined magnitude and articulation vectors (82-d vectors) – Misclassified all 6 articulation vectors – SOM shows test numbers are similar in ‘so ...
... • Contrast with single modality of classification in magnitude or articulation SOM • Compared with a single SOM classifier – 16 by 16 neurons – Trained on combined magnitude and articulation vectors (82-d vectors) – Misclassified all 6 articulation vectors – SOM shows test numbers are similar in ‘so ...
How to Pass a Turing Test: Syntactic Semantics, Natural
... I believe that in about fifty years' time [i.e., by about 2000] it will be possible to programmecomputers ... to make them play the imitation game so well that an average interrogatorwill not have more than 70 per cent, chance of making the right identificationafter five minutes of questioning. The ...
... I believe that in about fifty years' time [i.e., by about 2000] it will be possible to programmecomputers ... to make them play the imitation game so well that an average interrogatorwill not have more than 70 per cent, chance of making the right identificationafter five minutes of questioning. The ...
Compact color descriptor for fast image and video segment retrieval
... therefore is quantized to 1. Therefore, this coefficient is not used in similarity matching. Two different color spaces have been used for computing the color Histograms, the YCbCr and the HSV color space. We have used a 64-bin color histogram, but the technique is equally applicable to histograms o ...
... therefore is quantized to 1. Therefore, this coefficient is not used in similarity matching. Two different color spaces have been used for computing the color Histograms, the YCbCr and the HSV color space. We have used a 64-bin color histogram, but the technique is equally applicable to histograms o ...
Interpretation of NDTM in the definition of NP 1 Introduction
... NP [3][4][5], the one is the solver-based definition that NP is the class of problems solvable by a nondeterministic Turing machine in polynomial time, and the other is the verifier-based definition that NP is the class of problems verifiable by a deterministic Turing machine in polynomial time. Th ...
... NP [3][4][5], the one is the solver-based definition that NP is the class of problems solvable by a nondeterministic Turing machine in polynomial time, and the other is the verifier-based definition that NP is the class of problems verifiable by a deterministic Turing machine in polynomial time. Th ...
Advances in conversational case-based reasoning
... on the user’s brief description of the problem in free text may instead be incrementally extended in the problem solving dialogue. In each dialogue cycle, the user is shown any cases with an above-threshold similarity to the current query and invited to select from a list of questions ranked in orde ...
... on the user’s brief description of the problem in free text may instead be incrementally extended in the problem solving dialogue. In each dialogue cycle, the user is shown any cases with an above-threshold similarity to the current query and invited to select from a list of questions ranked in orde ...
pixel measurement of thyroid gland by using ultrasound image
... Image processing is one of the kind of signal processing in which an image or video is an input and output may be an image, video or set of parameters interconnected with that image. Any Image can get taken according to our field or requirements. Image processing generally refers as digital image pr ...
... Image processing is one of the kind of signal processing in which an image or video is an input and output may be an image, video or set of parameters interconnected with that image. Any Image can get taken according to our field or requirements. Image processing generally refers as digital image pr ...
PDF
... Ascertaining relevant changes in visual data by interfacing AI reasoning and low-level visual information via temporally stable image segments. Nataliya Shylo1 , Florentin Wörgötter1 , and Babette Dellen2,3 Abstract— Action planning and robot control require logical operations to be performed on s ...
... Ascertaining relevant changes in visual data by interfacing AI reasoning and low-level visual information via temporally stable image segments. Nataliya Shylo1 , Florentin Wörgötter1 , and Babette Dellen2,3 Abstract— Action planning and robot control require logical operations to be performed on s ...