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Exemplar-Based Processing for Speech Recognition: An Overview
2012
IEEE Signal Processing Magazine
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In the machine learning community, these two broad categories of modeling are referred to as eager (offline) learning and lazy (instance-based or memory-based) learning [1] . ...
S olving real-world classification and recognition problems requires a principled way of modeling the physical phenomena generating the observed data and the uncertainty in it. ...
The underlying computational engine may be, e.g., GMMs, neural nets (NNs) [15] , or support vector machines (SVMs) [16] . ...
doi:10.1109/msp.2012.2208663
fatcat:uscjurhrejgctasb6sc5t4paca
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
2013
The 2013 International Joint Conference on Neural Networks (IJCNN)
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To this end, we have developed a set of abstractions, algorithms, and applications that are natively efficient for TrueNorth. ...
Second, we implemented ten algorithms that include convolution networks, spectral content estimators, liquid state machines, restricted Boltzmann machines, hidden Markov models, looming detection, temporal ...
We would like to thank David Peyton for his expert assistance revising this manuscript. ...
doi:10.1109/ijcnn.2013.6706746
dblp:conf/ijcnn/EsserAADBAACFMCBCZZAKWRMNSM13
fatcat:bjkz56ezerg4rcxykd7uyyftsi
Clustering of multiple-event online sound collections with the codebook approach
2019
Zenodo
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For instance, a properly organized presentation of these audio collections can improve the user experience when browsing for sounds. ...
This series of feature vectors will be the basis on further SMC work such as similarity assessment, classification, pattern recognition or machine learning. ...
music tagging and then transferred to other music-related classification and regression tasks. ...
doi:10.5281/zenodo.3475480
fatcat:zbpmafthb5ef7i2r43pehpc4lm
Robust Correlated and Individual Component Analysis
2016
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this light, we propose a method for the Robust Correlated and Individual Component Analysis (RCICA) of two sets of data in the presence of gross, sparse errors. ...
The generality of the proposed methods is demonstrated by applying them onto 4 applications, namely i) heterogeneous face recognition, ii) multi-modal feature fusion for human behavior analysis (i.e., ...
Regression was performed via a Relevance Vector Machine (RVM) [54] . Given the input-output pair (x i , y i ), RVM models the function y i = w T φ(x i )+ i , i ∼ N (0, σ 2 ). ...
doi:10.1109/tpami.2015.2497700
pmid:26552077
fatcat:lea2y4hduzfozexfp7n57mjnua
Urban Computing
2014
ACM Transactions on Intelligent Systems and Technology
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For instance, the aforementioned anomaly detection uses human mobility data, road networks, and social media. ...
Zheng et al. information will be delivered to the transportation authority for dispersing traffic and diagnosing the anomaly. ...
., simply putting these features into a feature vector and throwing them into a classification model) does not achieve the best performance. ...
doi:10.1145/2629592
fatcat:no5gcshbmrdfphv6ewm6wdoewq
Message from the general chair
2015
2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
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We propose a joint learning model which combines pairwise classification and mention clustering with Markov logic. ...
We propose a candidate ranking model for "this-issue" anaphora resolution that explores different "issue"-specific and general abstract-anaphora features. The model is not restricted to nominal ...
Query classification using topic models and support vector machine
Dieu-Thu Le and Raffaella Bernardi Monday 6:00pm-9:00pm -3F Lobby (ICC) This paper describes a query classification system for a specialized ...
doi:10.1109/ispass.2015.7095776
dblp:conf/ispass/Lee15
fatcat:ehbed6nl6barfgs6pzwcvwxria
On the Opportunities and Risks of Foundation Models
[article]
2021
arXiv
pre-print
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In addition, we would like to especially thank Vanessa Parli for helping to organize this effort. ...
Acknowledgments References
ACKNOWLEDGMENTS We would like to thank the following people for their valuable feedback: Mohit Bansal, Boaz Barak, Yoshua Bengio, Sam Bowman, Collin Burns, Nicholas Carlini ...
For example, CLIP and ViLBERT [Lu et al. 2019a ] are both multimodal vision-language, but differ in the precise way they are multimodal. 56 The former encodes images and text separately into vectors ...
arXiv:2108.07258v2
fatcat:yktkv4diyrgzzfzqlpvaiabc2m
Semantic Mapping in Video Retrieval
2018
SIGIR Forum
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An advantage of using ontologies is that they provide a formal framework for supporting explicit, specific and machine-processable knowledge and provide inference and reasoning to infer implicit knowledge ...
classification. ...
doi:10.1145/3190580.3190606
fatcat:a7agjytxhng4na47sfv7xsoy2a
Hubness in the protein sequence universe
2020
unpublished
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In addition, deep networks are used to learn protein sequence vector representations, and investigated for orthologous group inference. ...
The free open source software package "scikit-hubness" for Python implements these methods to make hubness analysis and reduction available to machine learning researchers and practitioners. ...
This research is supported by the Austrian Science Fund (FWF): P27703 and P31988 References Angiulli, F. (2018 . Improving visualization of high-dimensional music similarity spaces. ...
doi:10.25365/thesis.64427
fatcat:wbai3saw7nbwtjtywtr73bbky4
The structural acoustic properties of stiffened shells
2008
Journal of the Acoustical Society of America
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International technical standard for field measurements of DL2 integrates new descriptive models for open plan office acoustics, taking into account geometric proportions, presence of screens and furniture ...
During the 1990s acoustic criteria for injury were designated based upon temporary hearing loss. ...
This paper presents a novel class-specific support vector machine ͑CS-SVM͒ methodology for automated, specieslevel classification of small odontocetes. ...
doi:10.1121/1.2932806
fatcat:zohbewf2k5h7fly2hoqzfdk42e
Acoustic GIS‐based monitoring of Atlantic cod ecosystems in coastal Newfoundland
2008
Journal of the Acoustical Society of America
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International technical standard for field measurements of DL2 integrates new descriptive models for open plan office acoustics, taking into account geometric proportions, presence of screens and furniture ...
During the 1990s acoustic criteria for injury were designated based upon temporary hearing loss. ...
This paper presents a novel class-specific support vector machine ͑CS-SVM͒ methodology for automated, specieslevel classification of small odontocetes. ...
doi:10.1121/1.2932540
fatcat:v6w3j7upx5duhkunch6oai5jve
Content Recommendation Through Linked Data
2017
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. • Algorithms to produce recommendations based on statistical information techniques applied to Linked Data such as Support Vector Machine (SVM), Latent Dirichlet Allocation (LDA), Random Indexing (RI ...
For each user, a regression or classification model is learned from a collection of items for which ratings are available. The training set consists of item feature vectors labeled with ratings. ...
doi:10.6092/polito/porto/2670692
fatcat:edcc3ul5ircsvcstvz3giu6tqu
Recognizing Human Needs Using Machine Learning-Powered Psychology-Based Framework
[article]
2020
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We design and develop need classification and regression models, with each corresponding to one of the predefined concepts that form the theoretical layered reference model; namely: 1) Need Content Recognition ...
For a more comprehensive and deeper analysis, the Frustrated Need Intensity Estimator (FNIE) model and the Satisfied Need [...] ...
preferable to deep learning algorithms, as the latter are • Support Vector Machine (SVM) Support Vector Machine (SVM) is a discriminative, non-probabilistic machine learning algorithm that is considered ...
doi:10.20381/ruor-24444
fatcat:qijfzwdcs5hdde2t4fbp5xq23u
Ivelina Nikolova and Natalia Konstantinova Organisers of the Student Workshop
unpublished
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We both experiment with rule-based methods and machine learning approaches. ...
In this paper, we show how our methods developed for identifying light verb constructions can be adapted to different domains and different types of texts. ...
Ruslan Mitkov for their support of our research. We wish to thank our colleagues Alison Carminke, Noa P. Cruz Díaz, Dr. ...
fatcat:uxotu5b5mbh6jmf5wo4een7pda
A Study of Accomodation of Prosodic and Temporal Features in Spoken Dialogues in View of Speech Technology Applications
2010
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, posture, gaze and movement offer additional possibilities for improving on multimodal human-machine interaction. ...
prosodic baselines, (e) informing classification for emotion recognition in dialogues ), (f) informing classification of dialogue acts (Wright 1999) , and (g) improving performance of ASR by exploiting ...
%check for NaN if (isfinite(matrix(k,columnnumber))==1) %add to weigthed sum wsum = wsum + matrix(k,columnnumber)*duration; %add to duration sum sdur = sdur + duration; end end end k = k + 1; if k > n ...
doi:10.21427/d7vc8s
fatcat:nxyrhdhtbvh6tar6hj52bhej5m
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