input: Popular approaches of opinion-based recommender system utilize various techniques including text mining, information retrieval, sentiment analysis (see also Multimodal sentiment analysis) and deep learning X.Y. Feng, H. Zhang, Y.J. Ren, P.H. Shang, Y. Zhu, Y.C. Liang, R.C. Guan, D. Xu, (2019),, 21 (5): e12957.

text: opinion-based recommender system

text: text mining

text: deep learning

text: information retrieval

text: sentiment analysis

text: Multimodal sentiment analysis

text: X.Y. Feng

text: H. Zhang

text: Y.J. Ren

text: P.H. Shang

text: Y. Zhu

text: Y.C. Liang

text: R.C. Guan

text: D. Xu


input: Advocates of procedural representations were mainly centered at MIT, under the leadership of Marvin Minsky and Seymour Papert.

text: MIT

text: Marvin Minsky

text: Seymour Papert


input: The standard interface and calculator interface are written in Java.

text: Java


input: Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a that is mostly compatible with MATLAB.

text: Octave

text: MATLAB


input: Variants of the back-propagation algorithm as well as unsupervised methods by Geoff Hinton and colleagues at the University of Toronto can be used to train deep, highly nonlinear neural architectures, {{cite journal

text: back-propagation algorithm

text: unsupervised methods

text: Geoff Hinton

text: University of Toronto


input: or equivalently using DCG notation:

text: DCG


input: Self-organizing maps differ from other artificial neural networks as they apply competitive learning as opposed to error-correction learning such as backpropagation with gradient descent), and in the sense that they use a neighborhood function to preserve the topological properties of the input space.

text: artificial neural networks

text: competitive learning

text: error-correction learning

text: backpropagation

text: gradient descent

text: topological properties


input: Since the early 1990s, it has been recommended by several authorities, including the Audio Engineering Society that measurements of dynamic range be made with an audio signal present, which is then filtered out in the noise floor measurement used in determining dynamic range. This avoids questionable measurements based on the use of blank media, or muting circuits.

text: Audio Engineering Society

text: audio signal

text: noise floor measurement


input: The technique used in creating eigenfaces and using them for recognition is also used outside of face recognition: handwriting recognition, lip reading, voice recognition, sign language / hand gestures interpretation and medical imaging analysis.

text: eigenfaces

text: face recognition

text: handwriting recognition

text: lip reading

text: voice recognition

text: sign language

text: hand gestures interpretation

text: medical imaging analysis


input: The National Science Foundation was an umbrella for the National Aeronautics and Space Administration (NASA), the US Department of Energy, the US Department of Commerce NIST, the US Department of Defense, Defense Advanced Research Projects Agency (DARPA), and the Office of Naval Research coordinated studies to inform strategic planners in their deliberations.

text: National Science Foundation

text: National Aeronautics and Space Administration

text: NASA

text: US Department of Energy

text: US Department of Commerce NIST

text: US Department of Defense

text: Defense Advanced Research Projects Agency

text: DARPA

text: Office of Naval Research


input: A fast method for computing maximum likelihood estimates for the probit model was proposed by Ronald Fisher as an appendix to Bliss' work in 1935.

text: maximum likelihood

text: probit model

text: Ronald Fisher

text: Bliss


input: Several of these programs are available online, such as Google Translate and the SYSTRAN system that powers AltaVista's BabelFish (now Yahoo's Babelfish as of 9 May 2008).

text: Google Translate

text: SYSTRAN system

text: BabelFish

text: Babelfish

text: AltaVista

text: Yahoo


input: In 2002 Hutter, with Jürgen Schmidhuber and Shane Legg, developed and published a mathematical theory of artificial general intelligence based on idealised intelligent agents and reward-motivated reinforcement learning.

text: Hutter

text: Jürgen Schmidhuber

text: Shane Legg

text: artificial general intelligence

text: reinforcement learning

text: intelligent agents


input: The most common way is using the so-called ROUGE (Recall-Oriented Understudy for Gisting Evaluation) measure.

text: ROUGE

text: Recall-Oriented Understudy for Gisting Evaluation


input: RapidMiner provides learning schemes, models and algorithms and can be extended using R and Python scripts. David Norris, Bloor Research, November 13, 2013.

text: RapidMiner

text: R

text: Python

text: David Norris

text: Bloor Research


input: tity contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions. but the more recent fully Java -based version (Weka 3), for which development started in 1997, is now used in many different application areas, in particular for educational purposes and research.

text: tity

text: Weka 3

text: data analysis

text: predictive modeling

text: graphical user interfaces

text: Java


input: Eurisko made many interesting discoveries and enjoyed significant acclaim, with his paper Heuretics: Theoretical and Study of Heuristic Rules winning the Best Paper award at the 1982 Association for the Advancement of Artificial Intelligence.

text: Eurisko

text: Heuretics: Theoretical and Study of Heuristic Rules

text: Best Paper award

text: 1982 Association for the Advancement of Artificial Intelligence


input: To allow for multiple entities, a separate Hinge loss is computed for each capsule.

text: Hinge loss


input: With the emergence of conversational assistants such as Apple's Siri, Amazon Alexa, Google Assistant, Microsoft Cortana, and Samsung's Bixby, Voice Portals can now be accessed through mobile devices and Far Field voice smart speakers such as the Amazon Echo and Google Home.

text: Apple's Siri

text: Amazon Alexa

text: Google Assistant

text: Microsoft Cortana

text: Samsung's Bixby

text: Voice Portals

text: Far Field voice smart speakers

text: Amazon Echo

text: Google Home


input: Examples of supervised learning are Naive Bayes classifier, Support vector machine, mixtures of Gaussians, and network.

text: supervised learning

text: Naive Bayes classifier

text: Support vector machine

text: mixtures of Gaussians

text: network


input: One can use the OSD algorithm to derive math O (\ sqrt {T}) / math regret bounds for the online version of Support vector machine for classification, which use the hinge loss math v _ t (w) = \ max \ {0, 1 - y _ t (w \ cdot x _ t) \} / math

text: OSD algorithm

text: Support vector machine

text: classification

text: hinge loss


input: Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.

text: object recognition

text: robotic mapping

text: navigation

text: image stitching

text: 3D modeling

text: gesture recognition

text: video tracking

text: individual identification of wildlife

text: match moving


input: A number of groups and companies are researching pose estimation, including groups at Brown University, Carnegie Mellon University, MPI Saarbruecken, Stanford University, the University of California, San Diego, the University of Toronto, the École Centrale Paris, ETH Zurich, National University of Sciences and Technology (NUST), and the University of California, Irvine.

text: pose estimation

text: Brown University

text: Carnegie Mellon University

text: MPI Saarbruecken

text: Stanford University

text: University of California, San Diego

text: University of Toronto

text: École Centrale Paris

text: ETH Zurich

text: National University of Sciences and Technology

text: NUST

text: University of California, Irvine


input: Sigmoid function Cross entropy loss is used for predicting K independent probability values in math 0,1 / math.

text: Sigmoid function Cross entropy loss


input: He held the Johann Bernoulli Chair of Mathematics and Informatics at the University of Groningen in the Netherlands, and the Toshiba Endowed Chair at the Tokyo Institute of Technology in Japan before becoming Professor at Cambridge.

text: Johann Bernoulli Chair

text: Toshiba Endowed Chair

text: Mathematics

text: Informatics

text: University of Groningen

text: Tokyo Institute of Technology

text: Cambridge

text: Netherlands

text: Japan


input: Another technique particularly used for recurrent neural network s is the long short-term memory (LSTM) network of 1997 by Sepp Hochreiter & Jürgen Schmidhuber.

text: recurrent neural network

text: long short-term memory

text: LSTM

text: Sepp Hochreiter

text: Jürgen Schmidhuber


input: The inclusion of a C + + interpreter (CINT until version 5.34, Cling from version 6) makes this package very versatile as it can be used in interactive, scripted and compiled modes in a manner similar to commercial products like MATLAB.

text: C + +

text: CINT

text: Cling

text: MATLAB


input: Voice user interfaces that interpret and manage conversational state are challenging to design due to the inherent difficulty of integrating complex natural language processing tasks like coreference resolution, named-entity recognition, information retrieval, and dialog management.

text: Voice user interfaces

text: natural language processing

text: coreference resolution

text: named-entity recognition

text: information retrieval

text: dialog management


input: Between 2009 and 2012, the recurrent neural network s and deep feedforward neural network s developed in the research group of Jürgen Schmidhuber at the Swiss AI Lab IDSIA have won eight international competitions in pattern recognition and machine learning.

text: recurrent neural network

text: deep feedforward neural network

text: Jürgen Schmidhuber

text: Swiss AI Lab IDSIA

text: pattern recognition

text: machine learning


input: Modern Windows desktop systems can use SAPI 4 and SAPI 5 components to support speech synthesis and speech.

text: Windows desktop systems

text: SAPI 4

text: SAPI 5

text: speech synthesis

text: speech


input: He received two honorary degree s, one S. V. della laurea ad honorem in Psychology from the University of Padua in 1995 and one doctorate in Industrial Design and Engineering from Delft University of Technology.

text: S. V. della laurea ad honorem

text: Psychology

text: Industrial Design and Engineering

text: University of Padua

text: Delft University of Technology


input: With long-time collaborator Laurent Cohen, a neurologist at the Pitié-Salpêtrière Hospital in Paris, Dehaene also identified patients with lesions in different regions of the parietal lobe with impaired multiplication, but preserved subtraction (associated with lesions of the inferior parietal lobule) and others with impaired subtraction, but preserved multiplication (associated with lesions to the intraparietal sulcus).

text: Laurent Cohen

text: Dehaene

text: Pitié-Salpêtrière Hospital

text: Paris

text: parietal lobe

text: inferior parietal lobule

text: intraparietal sulcus


input: More recently, fictional representations of artificially intelligent robots in films such as A.I. Artificial Intelligence and Ex Machina and the 2016 TV adaptation of Westworld have engaged audience sympathy for the robots themselves.

text: artificially intelligent robots

text: A.I. Artificial Intelligence

text: Ex Machina

text: Westworld


input: Two of the main methods used in unsupervised learning are principal component analysis and cluster analysis.

text: unsupervised learning

text: principal component analysis

text: cluster analysis


input: The Walt Disney Company also began more prominent use of 3D films in special venues to impress audiences with Magic Journeys (1982) and Captain EO (Francis Ford Coppola, 1986, starring Michael Jackson) being notable examples.

text: The Walt Disney Company

text: Magic Journeys

text: Captain EO

text: Francis Ford Coppola

text: Michael Jackson


input: Since 2002, perceptron training has become popular in the field of natural language processing for such tasks as part-of-speech tagging and syntactic parsing (Collins, 2002).

text: natural language processing

text: part-of-speech tagging

text: syntactic parsing

text: Collins


input: The first palletizing robot was introduced in 1963 by the Fuji Yusoki Kogyo Company. by KUKA robotics in Germany, and the Programmable Universal Machine for Assembly was invented by Victor Scheinman in 1976, and the design was sold to Unimation.

text: palletizing robot

text: Programmable Universal Machine for Assembly

text: Fuji Yusoki Kogyo Company.

text: KUKA robotics

text: Unimation

text: Germany

text: Victor Scheinman


input: In the middle of the 1990s, while serving as president of the AAAI, Hayes began a series of attacks on critics of AI, mostly phrased in an ironic light, and (together with his colleague Kenneth Ford) invented an award named after Simon Newcomb to be given for the most ridiculous argument disproving the possibility of AI.

text: AAAI

text: Hayes

text: Kenneth Ford

text: Simon Newcomb

text: AI

text: AI


input: An optimal value for math \ alpha / math can be found by using a line search algorithm, that is, the magnitude of math \ alpha / math is determined by finding the value that minimizes S, usually using a line search in the interval math0 \ alpha 1 / math or a backtracking line search such as Armijo-line search.

text: line search algorithm

text: line search

text: backtracking line search

text: Armijo-line search


input: He discusses Breadth-first search and Depth-first search techniques, but eventually concludes that the results represent expert system s that incarnate a lot of technical knowledge but don't shine much light on the mental processes that humans use to solve such puzzles.

text: Breadth-first search

text: Depth-first search

text: expert system


input: Speech recognition and speech synthesis deal with how spoken language can be understood or created using computers.

text: Speech recognition

text: speech synthesis


input: This math \ theta ^ {*} / math is normally estimated using a Maximum Likelihood (math \ theta ^ {*} = \ theta ^ {ML} / math) or Maximum A Posteriori (math \ theta ^ {*} = \ theta ^ {MAP} / math) procedure.

text: Maximum Likelihood

text: Maximum A Posteriori

text: MAP


input: Some less widely spoken languages use the open-source eSpeak synthesizer for their speech; producing a robotic, awkward voice that may be difficult to understand.

text: eSpeak synthesizer


input: Although used mainly by statisticians and other practitioners requiring an environment for statistical computation and software development, R can also operate as a general matrix calculation toolbox - with performance benchmarks comparable to GNU Octave or MATLAB.

text: R

text: GNU Octave

text: MATLAB


input: Heterodyning is a signal processing technique invented by Canadian inventor-engineer Reginald Fessenden that creates new frequencies by combining mixing two frequencies.

text: Heterodyning

text: signal processing

text: Canadian

text: Reginald Fessenden


input: Several other features that helped put 3D back on the map that month were the John Wayne feature Hondo (distributed by Warner Bros.), Columbia's Miss Sadie Thompson with Rita Hayworth, and Paramount's Money From Home with Dean Martin and Jerry Lewis.

text: John Wayne

text: Rita Hayworth

text: Dean Martin

text: Jerry Lewis

text: Hondo

text: Miss Sadie Thompson

text: Money From Home

text: Warner Bros.

text: Columbia

text: Paramount


input: DeepFace is a deep learning facial recognition system created by a research group at Facebook.

text: DeepFace

text: deep learning

text: facial recognition

text: Facebook


input: Geometry processing is a common research topic at SIGGRAPH, the premier computer graphics academic conference, and the main topic of the annual Symposium on Geometry Processing.

text: Geometry processing

text: computer graphics

text: SIGGRAPH

text: Symposium on Geometry Processing


input: Feature extraction and dimension reduction can be combined in one step using Principal Component Analysis (PCA), linear discriminant analysis (LDA), or canonical correlation analysis (CCA) techniques as a pre-processing step, followed by clustering by k -NN on feature vectors in reduced-dimension space.

text: Feature extraction

text: dimension reduction

text: Principal Component Analysis

text: PCA

text: linear discriminant analysis

text: LDA

text: canonical correlation analysis

text: CCA

text: k -NN

text: pre-processing


input: Artificial neural networks are computational models that excel at machine learning and pattern recognition.

text: Artificial neural networks

text: machine learning

text: pattern recognition


input: , C. Papageorgiou and T. Poggio, A Trainable Pedestrian Detection system, International Journal of Computer Vision (IJCV), pages 1: 15-33, 2000 others uses local features like histogram of oriented gradients N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1: 886-893, 2005 descriptors.

text: C. Papageorgiou

text: T. Poggio

text: N. Dalal

text: B. Triggs

text: Trainable Pedestrian Detection system

text: International Journal of Computer Vision

text: IJCV

text: IEEE Computer Society Conference on Computer Vision and Pattern Recognition

text: CVPR

text: histogram of oriented gradients

text: Histograms of oriented gradients

text: human detection


input: An autoencoder is a type of artificial neural network used to learn Feature learning in an unsupervised learning manner.

text: autoencoder

text: artificial neural network

text: Feature learning

text: unsupervised learning


input: Haralick is a Fellow of IEEE for his contributions in computer vision and image processing and a Fellow of the International Association for Pattern Recognition (IAPR) for his contributions in pattern recognition, image processing, and for service to IAPR.

text: Haralick

text: IEEE

text: International Association for Pattern Recognition

text: IAPR

text: IAPR

text: computer vision

text: image processing

text: pattern recognition

text: image processing


input: The first attempt at end-to-end ASR was with Connectionist Temporal Classification (CTC) -based systems introduced by Alex Graves of Google DeepMind and Navdeep Jaitly of the University of Toronto in 2014.

text: end-to-end ASR

text: Connectionist Temporal Classification

text: CTC

text: Alex Graves

text: Navdeep Jaitly

text: Google DeepMind

text: University of Toronto


input: Linear-fractional programming (LFP) is a generalization of linear programming (LP).

text: Linear-fractional programming

text: LFP

text: linear programming

text: LP


input: Lafferty received numerous awards, including two Test-of-Time awards at the International Conference on Machine Learning 2011 & 2012,

text: Lafferty

text: Test-of-Time awards

text: International Conference on Machine Learning 2011 & 2012


input: With the advent of component-based frameworks such as .NET and Java, component based development environments are capable of deploying the developed neural network to these frameworks as inheritable components.

text: .NET

text: Java

text: neural network


input: As with BLEU, the basic unit of evaluation is the sentence, the algorithm first creates an alignment (see illustrations) between two sentence s, the candidate translation string, and the reference translation string.

text: BLEU


input: One of the metrics used in NIST' s annual Document Understanding Conferences, in which research groups submit their systems for both summarization and translation tasks, is the ROUGE metric (Recall-Oriented Understudy for Gisting Evaluation, In Advances of Neural Information Processing Systems (NIPS), Montreal, Canada, December - 2014.

text: NIST' s annual Document Understanding Conferences

text: Neural Information Processing Systems

text: NIPS

text: summarization

text: translation tasks

text: ROUGE metric

text: Recall-Oriented Understudy for Gisting Evaluation

text: Montreal

text: Canada


input: Same implementation, to run in Java with JShell (Java 9 minimum): codejshell scriptfile / codesyntaxhighlight lang = java

text: Java

text: Java 9

text: java

text: JShell

text: codejshell


input: The NIST metric is based on the BLEU metric, but with some alterations.

text: NIST metric

text: BLEU metric


input: In the late 1980s, two Netherlands universities, University of Groningen and University of Twente, jointly began a project called Knowledge Graphs, which are semantic networks but with the added constraint that edges are restricted to be from a limited set of possible relations, to facilitate algebras on the graph.

text: Netherlands

text: University of Groningen

text: University of Twente

text: Knowledge Graphs

text: semantic networks


input: Grammar checkers are most often implemented as a feature of a larger program, such as a word processor, but are also available as a stand-alone application that can be activated from within programs that work with editable text.

text: Grammar checkers

text: word processor


input: He is a Fellow of the American Association for the Advancement of Science, Association for the Advancement Artificial Intelligence, and Cognitive Science Society, and an editor of the J. Automated Reasoning, J. Learning Sciences, and J. Applied Ontology.

text: American Association for the Advancement of Science

text: Cognitive Science Society

text: Association for the Advancement Artificial Intelligence

text: J. Automated Reasoning

text: J. Learning Sciences

text: J. Applied Ontology


input: Linear predictive coding (LPC), a form of speech coding, began development with the work Fumitada Itakura of Nagoya University and Shuzo Saito of Nippon Telegraph and Telephone (NTT) in 1966.

text: Linear predictive coding

text: LPC

text: speech coding

text: Fumitada Itakura

text: Shuzo Saito

text: Nagoya University

text: Nippon Telegraph and Telephone

text: NTT


input: If the signal is further ergodic, all sample paths exhibits the same time-average and thus mathR _ x ^ {n / T _ 0} (\ tau) = \ widehat {R} _ x ^ {n / T _ 0} (\ tau) / math in mean square error sense.

text: mean square error


input: Feature extraction and dimension reduction can be combined in one step using principal component analysis (PCA), linear discriminant analysis (LDA), canonical correlation analysis (CCA), or non-negative matrix factorization (NMF) techniques as a pre-processing step followed by clustering by K-NN on feature vectors in reduced-dimension space.

text: Feature extraction

text: dimension reduction

text: principal component analysis

text: PCA

text: linear discriminant analysis

text: LDA

text: canonical correlation analysis

text: CCA

text: non-negative matrix factorization

text: NMF

text: K-NN

text: pre-processing step

text: feature vectors


input: Libraries written in Perl, Java, ActiveX or .NET can be directly called from MATLAB,

text: Perl

text: Java

text: ActiveX

text: .NET

text: MATLAB


input: The task of recognizing named entities in text is Named Entity Recognition while the task of determining the identity of the named entities mentioned in text is called Entity Linking.

text: recognizing named entities in text

text: Named Entity Recognition

text: Entity Linking


input: The sigmoid function s and derivatives used in the package were originally included in the package, from version 0.8.0 onwards, these were released in a separate R package sigmoid, with the intention to enable more general use.

text: sigmoid function

text: sigmoid

text: R


input: Logo was created in 1967 at Bolt, Beranek and Newman (BBN), a Cambridge, Massachusetts research firm, by Wally Feurzeig, Cynthia Solomon, and Seymour Papert.

text: Logo

text: Bolt, Beranek and Newman

text: BBN

text: Cambridge

text: Massachusetts

text: Wally Feurzeig

text: Cynthia Solomon

text: Seymour Papert


input: Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use gradient descent on a neural network with a fixed topology.

text: Neuroevolution

text: reinforcement learning

text: deep learning

text: gradient descent

text: neural network


input: If we use least squares to fit a function in the form of a hyperplane ŷ = a + β supT / sup x to the data (x sub i / sub, y sub i / sub) sub 1 ≤ i ≤ n / sub, we could then assess the fit using the mean squared error (MSE).

text: least squares

text: mean squared error

text: MSE


input: The company has international locations in Australia, Brazil, Canada, China, Germany, India, Italy, Japan, Korea, Lithuania, Poland, Malaysia, the Philippines, Russia, Singapore, South Africa, Spain, Taiwan, Thailand, Turkey and the United Kingdom.

text: Australia

text: Brazil

text: Canada

text: China

text: Germany

text: India

text: Italy

text: Japan

text: Korea

text: Lithuania

text: Poland

text: Malaysia

text: Philippines

text: Russia

text: Singapore

text: South Africa

text: Spain

text: Taiwan

text: Thailand

text: Turkey

text: United Kingdom


input: He holds a D.Sc. degree in electrical and computer engineering (2000) from Inria and the University of Nice Sophia Antipolis, and has held permanent positions at Siemens Corporate Technology, École des ponts ParisTech as well as visiting positions at Rutgers University, Yale University and University of Houston.

text: D.Sc. degree

text: electrical and computer engineering

text: Inria

text: Siemens Corporate Technology

text: University of Nice Sophia Antipolis

text: École des ponts ParisTech

text: Rutgers University

text: Yale University

text: University of Houston


input: Licensing the original patent awarded to inventor George Devol, Engelberger developed the first industrial robot in the United States, the Unimate, in the 1950s.

text: George Devol

text: Engelberger

text: industrial robot

text: Unimate

text: United States


input: The input is called speech recognition and the output is called speech synthesis.

text: speech recognition

text: speech synthesis


input: Descendants of the CLIPS language include Jess (rule-based portion of CLIPS rewritten in Java, it later grew up in different direction), JESS was originally inspired

text: CLIPS

text: Jess

text: CLIPS

text: Java

text: JESS


input: It also created flexible intelligent AGV applications, designing the Motivity control system used by RMT Robotics to develop its ADAM iAGV (Self-Guided Vehicle), used for complex pick and place operations, in conjunction with gantry systems and industrial robot arms, used in first-tier auto supply factories to move products from process to process in non-linear layouts.

text: AGV

text: Motivity control system

text: ADAM iAGV

text: gantry systems

text: industrial robot arms

text: RMT Robotics

text: non-linear layouts


input: The parameters β are typically estimated by maximum likelihood.

text: maximum likelihood


input: The information retrieval metrics such as precision and recall or DCG are useful to assess the quality of a recommendation method.

text: information retrieval

text: precision

text: recall

text: DCG


input: A typical factory contains hundreds of industrial robot s working on fully automated production lines, with one robot for every ten human workers.

text: industrial robot


input: Over the past decade, PCNNs have been used in a variety of image processing applications, including: image segmentation, feature generation, face extraction, motion detection, region growing, and noise reduction.

text: PCNNs

text: image processing

text: image segmentation

text: feature generation

text: face extraction

text: motion detection

text: region growing

text: noise reduction


input: Xu has published more than 50 papers at international conferences and in journals in the field of computer vision and won the Best Paper Award at the international conference on Non-Photorealistic Rendering and Animation (NPAR) 2012 and the Best Reviewer Award at the international conferences Asian Conference on Computer Vision ACCV 2012 and International Conference on Computer Vision (ICCV) 2015.

text: Xu

text: computer vision

text: Best Paper Award

text: Best Reviewer Award

text: international conference on Non-Photorealistic Rendering and Animation

text: NPAR

text: international conferences Asian Conference on Computer Vision

text: ACCV 2012

text: International Conference on Computer Vision

text: ICCV


input: CycL in computer science and artificial intelligence is an ontology language used by Doug Lenat's Cyc artificial project.

text: CycL

text: computer science

text: artificial intelligence

text: ontology language

text: Cyc artificial project

text: Doug Lenat


input: Also in regression analysis, mean squared error, often referred to as mean squared prediction error or out-of-sample mean squared error, can refer to the mean value of the squared deviations of the predictions from the TRUE values, over an out-of-sample test space, generated by a model estimated over a particular sample space.

text: regression analysis

text: mean squared error

text: mean squared prediction error

text: out-of-sample mean squared error

text: squared deviations


input: As for the results, the C-HOG and R-HOG block descriptors perform comparably, with the C-HOG descriptors maintaining a slight advantage in the detection miss rate at fixed FALSE positive rate s across both data sets.

text: C-HOG

text: R-HOG

text: C-HOG descriptors

text: FALSE positive rate


input: Popular recognition algorithms include principal component analysis using eigenface s, linear discriminant analysis, Elastic matching using the Fisherface algorithm, the hidden Markov model, the multilinear subspace learning using tensor representation, and the neuronal motivated dynamic link matching.

text: principal component analysis

text: linear discriminant analysis

text: Elastic matching

text: Fisherface algorithm

text: hidden Markov model

text: multilinear subspace learning

text: dynamic link matching

text: eigenface

text: tensor representation


input: Beginning at the 2019 Toronto International Film Festival, films may now be restricted from screening at Scotiabank Theatre Toronto - one of the festival's main venues - and screened elsewhere (such as TIFF Bell Lightbox and other local cinemas) if distributed by a service such as Netflix.

text: 2019 Toronto International Film Festival

text: Scotiabank Theatre Toronto

text: TIFF Bell Lightbox

text: Netflix


input: Unimation purchased Victor Scheinman' s Vicarm Inc. in 1977, and with Scheinman's help, the company created and began producing the Programmable Universal Machine for Assembly, a new model of robotic arm, and using Scheinman's cutting-edge VAL programming language.

text: Unimation

text: Vicarm Inc.

text: Victor Scheinman

text: Scheinman

text: Scheinman

text: Programmable Universal Machine for Assembly

text: VAL programming language


input: J48 is an open source Java implementation of the C4.5 algorithm in the Weka data mining tool.

text: Weka data mining tool

text: Java

text: C4.5 algorithm


input: The 2004 SSIM paper has been cited over 20,000 times according to Google Scholar, It also received the IEEE Signal Processing Society Sustained Impact Award for 2016, indicative of a paper having an unusually high impact for at least 10 years following its publication.

text: SSIM

text: Google Scholar

text: IEEE Signal Processing Society Sustained Impact Award


input: The speech synthesis is verging on being completely indistinguishable from a real human's voice with the 2016 introduction of the voice editing and generation software Adobe Voco, a prototype slated to be a part of the Adobe Creative Suite and DeepMind WaveNet, a prototype from Google.

text: speech synthesis

text: Adobe Voco

text: Adobe Creative Suite

text: WaveNet

text: DeepMind

text: Google


input: Poggio is an honorary member of the Neuroscience Research Program, a member of the American Academy of Arts and Sciences and a founding fellow of AAAI and a founding member of the McGovern Institute for Brain Research.

text: Poggio

text: Neuroscience Research Program

text: American Academy of Arts and Sciences

text: McGovern Institute for Brain Research

text: AAAI


input: During the 1990s, encouraged by successes in speech recognition and speech synthesis, research began into speech translation with the development of the German Verbmobil project.

text: speech recognition

text: speech synthesis

text: speech translation

text: German

text: Verbmobil project


input: In 1999, Felix Gers and his advisor Jürgen Schmidhuber and Fred Cummins introduced the forget gate (also called keep gate) into LSTM architecture,

text: Felix Gers

text: Jürgen Schmidhuber

text: Fred Cummins

text: forget gate

text: keep gate

text: LSTM


input: In digital signal processing and information theory, the normalized sinc function is commonly defined for by

text: digital signal processing

text: information theory

text: normalized sinc function


input: The term computational linguistics itself was first coined by David Hays, a founding member of both the Association for Computational Linguistics and the International Committee on Computational Linguistics (ICCL).

text: computational linguistics

text: David Hays

text: Association for Computational Linguistics

text: International Committee on Computational Linguistics

text: ICCL


input: 59, pp. 2547-2553, Oct. 2011 In one dimensional polynomial-based memory (or memoryless) DPD, in order to solve for the digital pre-distorter polynomials coefficients and minimize the mean squared error (MSE), the distorted output of the nonlinear system must be over-sampled at a rate that enables the capture of the nonlinear products of the order of the digital pre-distorter.

text: one dimensional polynomial-based memory

text: DPD

text: mean squared error

text: MSE


input: Boris Katz, (born October 5, 1947, Chișinău, Moldavian SSR, Soviet Union, (now Chișinău, Moldova)) is a principal American research scientist (computer scientist) at the MIT Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology in Cambridge and head of the Laboratory's InfoLab Group.

text: Boris Katz

text: Chișinău

text: Moldavian SSR

text: Chișinău

text: Soviet Union

text: Moldova

text: MIT Computer Science and Artificial Intelligence Laboratory

text: Massachusetts Institute of Technology

text: InfoLab Group

text: Cambridge