Managing the Machines
... predictions. An approach called “deep learning” has been particularly important to the changes of the past five years. Figure 1 shows improvements in image classification, pedestrian detection, and object detection. The IMAGENET competition has gone from 72% successful image classification in 2010 t ...
... predictions. An approach called “deep learning” has been particularly important to the changes of the past five years. Figure 1 shows improvements in image classification, pedestrian detection, and object detection. The IMAGENET competition has gone from 72% successful image classification in 2010 t ...
Aalborg Universitet The Meaning of Action
... In [21, 119] activity trajectories are modeled using non-rigid shapes and a dynamic model that characterizes the variations in the shape structure. Vaswani et al.[119] uses Kendall’s statistical shape theory [60]. Nonlinear dynamical models are used to characterize the shape variation over time. An ...
... In [21, 119] activity trajectories are modeled using non-rigid shapes and a dynamic model that characterizes the variations in the shape structure. Vaswani et al.[119] uses Kendall’s statistical shape theory [60]. Nonlinear dynamical models are used to characterize the shape variation over time. An ...
Turing Test: 50 Years Later - Center for Research in Language
... availability (or lack) of comparison. Whether the machine’s task will be easier or more difficult in this latter case is another question. We think that Turing implies that some comparison should be available; otherwise, he would have opted for the two-person version of the game. Once again, we beli ...
... availability (or lack) of comparison. Whether the machine’s task will be easier or more difficult in this latter case is another question. We think that Turing implies that some comparison should be available; otherwise, he would have opted for the two-person version of the game. Once again, we beli ...
On Constrained Optimization Approach to Object
... behavior of its constituent parts of interest and be expressed as constraints of its optimization index. But before we get to this point, we should review the basics of segmentation. The problem of image segmentation, especially extracting from images the structures that are found in nature, is by n ...
... behavior of its constituent parts of interest and be expressed as constraints of its optimization index. But before we get to this point, we should review the basics of segmentation. The problem of image segmentation, especially extracting from images the structures that are found in nature, is by n ...
The Twins Corpus of Museum Visitor Questions
... one of two designated handlers, a little over 13,000 were marked with a speaker identification as child, adult male, or adult female, and for the remaining 22,000 the speaker was not identified. About 32,000 of the transcribed utterances come from the earlier, one-microphone setup, and consist mostl ...
... one of two designated handlers, a little over 13,000 were marked with a speaker identification as child, adult male, or adult female, and for the remaining 22,000 the speaker was not identified. About 32,000 of the transcribed utterances come from the earlier, one-microphone setup, and consist mostl ...
View - Association for Computational Creativity
... RPM-inspired visual analogy problems. The propositional representations were written by the instructors of the course to prevent students from building inferential advantages into the representations. During the design of their agents, students could see 83 of these problems: the remaining 40 were d ...
... RPM-inspired visual analogy problems. The propositional representations were written by the instructors of the course to prevent students from building inferential advantages into the representations. During the design of their agents, students could see 83 of these problems: the remaining 40 were d ...
The Legacy of Alan Turing and John von Neumann
... In the posthumously published paper Intelligent Machinery (24) Turing describes additional details how to create an intelligent machine. First he discusses possible components of a child machine. He introduces unorganized machines of type A,B, and P. A and B are artificial neural networks with rando ...
... In the posthumously published paper Intelligent Machinery (24) Turing describes additional details how to create an intelligent machine. First he discusses possible components of a child machine. He introduces unorganized machines of type A,B, and P. A and B are artificial neural networks with rando ...
Representing and Querying Correlated Tuples in Probabilistic
... our query q does not contain two copies of the same relation and consists of only the above three operators. In the longer version of the paper [34] we describe redefinitions for all relational algebra operators that do not make these assumptions and can handle all relational algebra queries. • sele ...
... our query q does not contain two copies of the same relation and consists of only the above three operators. In the longer version of the paper [34] we describe redefinitions for all relational algebra operators that do not make these assumptions and can handle all relational algebra queries. • sele ...
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us
... Abstract AI is a field older than most realize – the term was coined in the mid 1950s. The field is comprised of many subfields but the main focus is on building intelligent entities. In order to achieve this goal many subcomponents need to be built, including methods for assisting computers to thi ...
... Abstract AI is a field older than most realize – the term was coined in the mid 1950s. The field is comprised of many subfields but the main focus is on building intelligent entities. In order to achieve this goal many subcomponents need to be built, including methods for assisting computers to thi ...
AAAI Proceedings Template
... RPM-inspired visual analogy problems. The propositional representations were written by the instructors of the course to prevent students from building inferential advantages into the representations. During the design of their agents, students could see 83 of these problems: the remaining 40 were d ...
... RPM-inspired visual analogy problems. The propositional representations were written by the instructors of the course to prevent students from building inferential advantages into the representations. During the design of their agents, students could see 83 of these problems: the remaining 40 were d ...
X - Natural Language Processing Lab., Korea University
... a system that allows it to perform better the second time on repetition of the same task or on another task drawn from the same population.” Programs learn on their own, either from ...
... a system that allows it to perform better the second time on repetition of the same task or on another task drawn from the same population.” Programs learn on their own, either from ...
Generative Adversarial Structured Networks
... learning is that the outputs of each player are differentiable with respect to their parameters; thus, given a global learning objective, which measures the state of the game, the errors made by each player can be back-propagated to the relevant parameters. Even though, in practice, the global learn ...
... learning is that the outputs of each player are differentiable with respect to their parameters; thus, given a global learning objective, which measures the state of the game, the errors made by each player can be back-propagated to the relevant parameters. Even though, in practice, the global learn ...
1997-Efficient Management of Very Large Ontologies
... limited by the scalability of Loom, Lee and Geller’s system is limited to a restricted set of queries on specific parallel computers (the CM2 and CM5), and SHRUTI is very limited in the number of conjunctions it can handle in a single query. The system we will describe here, is motivated by the PARK ...
... limited by the scalability of Loom, Lee and Geller’s system is limited to a restricted set of queries on specific parallel computers (the CM2 and CM5), and SHRUTI is very limited in the number of conjunctions it can handle in a single query. The system we will describe here, is motivated by the PARK ...
CS 561a: Introduction to Artificial Intelligence
... what these kinds are and what their basic properties are. ...
... what these kinds are and what their basic properties are. ...
Computational Semiotics : An Approach for the Study of Intelligent
... A cognitive system is a system that: 1)-can identify world objects from its input (or input interface), and represent them by an internal structure, 2)-may detect changes in the object attributes, create new objects and destroy existing objects, representing these changes in its model, 3)-plan a mod ...
... A cognitive system is a system that: 1)-can identify world objects from its input (or input interface), and represent them by an internal structure, 2)-may detect changes in the object attributes, create new objects and destroy existing objects, representing these changes in its model, 3)-plan a mod ...
Alan Turing and the development of Artificial Intelligence
... idea of designing intelligent robots which could “roam the countryside” and learn from their experience. Turing’s Version 1 Programming approach to Artificial Intelligence was the dominating paradigm for Artificial Intelligence research up until the mid1980s. Research during this period can largely ...
... idea of designing intelligent robots which could “roam the countryside” and learn from their experience. Turing’s Version 1 Programming approach to Artificial Intelligence was the dominating paradigm for Artificial Intelligence research up until the mid1980s. Research during this period can largely ...
Extending an Indonesian Semantic Analysis
... A question anwering (QA) system seeks to provide answers to questions expressed in natural language, where the answers are to be found in a given collection of documents. QA systems typically require more sophisticated linguistic analysis than conventional information retrieval, as they need to reas ...
... A question anwering (QA) system seeks to provide answers to questions expressed in natural language, where the answers are to be found in a given collection of documents. QA systems typically require more sophisticated linguistic analysis than conventional information retrieval, as they need to reas ...
An Information Theoretic Approach to Reflectional Symmetry Detection
... 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 object. Therefore, by detecting symmetry it is possible to start grouping or segmenting the image without prior knowledge ...
... 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 object. Therefore, by detecting symmetry it is possible to start grouping or segmenting the image without prior knowledge ...
Yu_Video_Paragraph_C.. - The Computer Vision Foundation
... tics for identifying video objects and a set of rules for producing verbs and prepositions. A sentence is then generated by filling predefined templates with the recognized parts of speech. Following their work, several succeeding approaches [26, 20, 21, 15, 3] applied similar rule-based systems to ...
... tics for identifying video objects and a set of rules for producing verbs and prepositions. A sentence is then generated by filling predefined templates with the recognized parts of speech. Following their work, several succeeding approaches [26, 20, 21, 15, 3] applied similar rule-based systems to ...
Impossibles AIBO Four-Legged Team Description Paper
... charge of receiving two inputs and producing a set of two outputs. These inputs and outputs are as follows: Inputs: (1) A stream of images taken by robot’s camera. Surely, these images contain a large amount of noise which has been caused by some issues such as robot’s motion or distance of the ...
... charge of receiving two inputs and producing a set of two outputs. These inputs and outputs are as follows: Inputs: (1) A stream of images taken by robot’s camera. Surely, these images contain a large amount of noise which has been caused by some issues such as robot’s motion or distance of the ...
What does the Turing test really mean? And how many human beings
... the subject of its own thought, have as much diversity of behaviour as a man, do something really new.” Turing still doesn’t think these possible disabilities, which may or may not impair future machines, rule out the notion of intelligent (non-human) machines. He notes that many people haven’t yet ...
... the subject of its own thought, have as much diversity of behaviour as a man, do something really new.” Turing still doesn’t think these possible disabilities, which may or may not impair future machines, rule out the notion of intelligent (non-human) machines. He notes that many people haven’t yet ...
Introduction to AI - Dr Shahriar Bijani
... bodies and imitated our actions as closely as possible for all practical purposes, we should still have two very certain means of recognizing that they were not real men. The first is that they could never use words, or put together signs, as we do in order to declare our thoughts to others… Secondl ...
... bodies and imitated our actions as closely as possible for all practical purposes, we should still have two very certain means of recognizing that they were not real men. The first is that they could never use words, or put together signs, as we do in order to declare our thoughts to others… Secondl ...
Introduction
... Definitions of AI • Develop programs/systems that perform/act like humans • Develop programs/systems that peform/act rationally • Understand human intelligence • Formalize the laws of thought and action INTELLIGENT AGENTS Introduction to AI, H. Feili ([email protected]) ...
... Definitions of AI • Develop programs/systems that perform/act like humans • Develop programs/systems that peform/act rationally • Understand human intelligence • Formalize the laws of thought and action INTELLIGENT AGENTS Introduction to AI, H. Feili ([email protected]) ...
CS607_Quiz
... If node picked from priority queue is goal node then return. Copy visited queue to priority queue. Question # 5 of 10 ( Start time: 05:58:25 PM ) Total Marks: 1 In ______ search, rather than trying all possible search paths, we focus on paths that seem to be getting closer to goal state using some k ...
... If node picked from priority queue is goal node then return. Copy visited queue to priority queue. Question # 5 of 10 ( Start time: 05:58:25 PM ) Total Marks: 1 In ______ search, rather than trying all possible search paths, we focus on paths that seem to be getting closer to goal state using some k ...