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2018

Survey of face detection on low-quality images

Zhou, Y., Liu, D. & Huang, T. S., Jun 5 2018, Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018. Institute of Electrical and Electronics Engineers Inc., p. 769-773 5 p. (Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Face Detection
Face recognition
Image Quality
Image quality
Detector

Generative Image Inpainting with Contextual Attention

Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X. & Huang, T. S., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 5505-5514 10 p. 8578675. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Textures
Neural networks
Copying
Experiments

Effective object detection from traffic camera videos

Shi, H., Liu, Z., Fan, Y., Wang, X. & Huang, T. S., Jun 26 2018, 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Video cameras
artificial intelligence
video
Cameras
traffic
2017

Dilated recurrent neural networks

Chang, S., Zhang, Y., Han, W., Yu, M., Guo, X., Tan, W., Cui, X., Witbrock, M., Hasegawa-Johnson, M. A. & Huang, T. S., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 77-87 11 p.

Research output: Contribution to journalConference article

Recurrent neural networks
Data storage equipment
2016

Positive-unlabeled learning in streaming networks

Chang, S., Zhang, Y., Tang, J., Yin, D., Chang, Y., Hasegawa-Johnson, M. A. & Huang, T. S., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 755-764 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Big data
2019

Fast generation for convolutional autoregressive models

Ramachandran, P., Le Paine, T., Khorrami, P., Babaeizadeh, M., Chang, S., Zhang, Y., Hasegawa-Johnson, M., Campbell, R. & Huang, T., Jan 1 2019.

Research output: Contribution to conferencePaper

training method
performance
Nave
Model-making
Cache
2018

Ontological random forests for image classification

Xu, N., Wang, J., Qi, G., Huang, T. S. & Lin, W., Jan 1 2018, Computer Vision: Concepts, Methodologies, Tools, and Applications. IGI Global, p. 784-799 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Image classification
Semantics
Railroad cars
Decision trees
Ontology
2019

Improving 3D human pose estimation via 3D part affinity fields

Liu, D., Zhao, Z., Wang, X., Hu, Y., Zhang, L. & Huang, T. S., Mar 4 2019, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., p. 1004-1013 10 p. 8659080. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer vision
Pixels
Detectors
Deep neural networks
2017

SOME CONSIDERATIONS ON TWO-DIMENSIONAL DIGITAL FILTERING.

Huang, T. S., Jan 1 2017, p. 150-151. 2 p.

Research output: Contribution to conferencePaper

2018

TS 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection

Wei, Y., Shen, Z., Cheng, B., Shi, H., Xiong, J., Feng, J. & Huang, T., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Weiss, Y. & Hebert, M. (eds.). Springer-Verlag, p. 454-470 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11215 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Object Detection
Mining
Segmentation
Pixels
Volatile organic compounds
2017

Deep image matting

Xu, N., Price, B., Cohen, S. & Huang, T., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 311-320 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Testing
Computer vision
Textures
Color
Deep learning
2015

Key point detection by max pooling for tracking

Yu, X., Yang, J., Wang, T. & Huang, T., Mar 1 2015, In : IEEE Transactions on Cybernetics. 45, 3, p. 444-452 9 p., 6840351.

Research output: Contribution to journalArticle

Semantics
Testing

Deep networks for image super-resolution with sparse prior

Wang, Z., Liu, D., Yang, J., Han, W. & Huang, T., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 370-378 9 p. 7410407. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image reconstruction
Computer vision
Restoration
Neural networks
Deep learning
2018

Geometry-aware traffic flow analysis by detection and tracking

Shi, H., Wang, Z., Zhang, Y., Wang, X. & Huang, T. S., Dec 13 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society, p. 116-120 5 p. 8575394. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2018-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geometry
Calibration
Video cameras
Mean square error
Cameras

Interacting Tracklets for Multi-Object Tracking

Lan, L., Wang, X., Zhang, S., Tao, D., Gao, W. & Huang, T. S., Sep 2018, In : IEEE Transactions on Image Processing. 27, 9, p. 4585-4597 13 p.

Research output: Contribution to journalArticle

Labeling
Classifiers
2016

Deep interactive object selection

Xu, N., Price, B., Cohen, S., Yang, J. & Huang, T. S., Dec 9 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 373-381 9 p. 7780416. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sampling
Deep learning
2019

Support regularized sparse coding and its fast encoder

Yang, Y., Yu, J., Kohli, P., Yang, J. & Huang, T. S., Jan 1 2019.

Research output: Contribution to conferencePaper

Glossaries
coding
Atoms
Feedforward neural networks
dictionary

Slimmable neural networks

Yu, J., Yang, L., Xu, N., Yang, J. & Huang, T., Jan 1 2019.

Research output: Contribution to conferencePaper

neural network
Neural networks
Tuning
normalization
Neural Networks
2015

Learning Super-Resolution Jointly From External and Internal Examples

Wang, Z., Yang, Y., Wang, Z., Chang, S., Yang, J. & Huang, T. S., Nov 1 2015, In : IEEE Transactions on Image Processing. 24, 11, p. 4359-4371 13 p., 7180353.

Research output: Contribution to journalArticle

Optical resolving power
Image resolution
2017

Neighborhood regularized ℓ1-graph

Yang, Y., Feng, J., Yu, J., Yang, J., Kohli, P. & Huang, T. S., Jan 1 2017.

Research output: Contribution to conferencePaper

Decomposition
2018

Robust emotion recognition from low quality and low bit rate video: A deep learning approach

Cheng, B., Wang, Z., Zhang, Z., Li, Z., Liu, D., Yang, J., Huang, S. & Huang, T. S., Jan 29 2018, 2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017. Institute of Electrical and Electronics Engineers Inc., p. 65-70 6 p. (2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Emotions
Learning
Bandwidth
Scalability
Benchmarking
2017

Age differences in responding to graphically conveyed health risk information

Malik, T., Azevedo, R. F. L., Morrow, D., Hasegawa-Johnson, M., Huang, T., Schuh, W., Gu, K. & Garcia-Retamero, R., Jan 1 2017, Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017. Human Factors an Ergonomics Society Inc., p. 542-544 3 p. (Proceedings of the Human Factors and Ergonomics Society; vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Health risks
age difference
health risk
2016

Studying very low resolution recognition using deep networks

Wang, Z., Chang, S., Yang, Y., Liu, D. & Huang, T. S., Dec 9 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 4792-4800 9 p. 7780887. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Deep learning
2017

Learning a mixture of deep networks for single image super-resolution

Liu, D., Wang, Z., Nasrabadi, N. & Huang, T., Jan 1 2017, Computer Vision - 13th Asian Conference on Computer Vision, ACCV 2016, Revised Selected Papers. Sato, Y., Lai, S-H., Nishino, K. & Lepetit, V. (eds.). Springer-Verlag Berlin Heidelberg, p. 145-156 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10113 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Super-resolution
Image resolution
Optical resolving power
Restoration
High Resolution

LEGO-MM: LEarning structured model by probabilistic logic ontology tree for multimedia

Tang, J., Chang, S., Qi, G. J., Tian, Q., Rui, Y. & Huang, T. S., Jan 2017, In : IEEE Transactions on Image Processing. 26, 1, p. 196-207 12 p., 7574383.

Research output: Contribution to journalArticle

Probabilistic logics
Ontology
Warehouses
2018

Non-local recurrent network for image restoration

Liu, D., Wen, B., Fan, Y., Loy, C. C. & Huang, T. S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 1673-1682 10 p.

Research output: Contribution to journalConference article

Recurrent neural networks
Image reconstruction
Image denoising
Experiments
2015

DeepFont: Identify your font from an image

Wang, Z., Yang, J., Jin, H., Shechtman, E., Agarwala, A., Brandt, J. & Huang, T. S., Oct 13 2015, MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, p. 451-459 9 p. (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Decomposition
Testing

DeepFont: A system for font recognition and similarity

Wang, Z., Yang, J., Jin, H., Brandt, J., Shechtman, E., Agarwala, A., Wang, Z., Song, Y., Hsieh, J., Kong, S. & Huang, T. S., Oct 13 2015, MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, p. 813-814 2 p. (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Consumer products
Application programs
Demonstrations
iOS (operating system)

Subcategory-aware object detection

Yu, X., Yang, J., Lin, Z., Wang, J., Wang, T. & Huang, T., Sep 1 2015, In : IEEE Signal Processing Letters. 22, 9, p. 1472-1476 5 p., 6709751.

Research output: Contribution to journalArticle

Object Detection
Detector
Detectors
Ensemble
Clustering
2018

Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

Wei, Y., Xiao, H., Shi, H., Jie, Z., Feng, J. & Huang, T. S., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 7268-7277 10 p. 8578857. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Convolution
Semantics
Volatile organic compounds
Labels
Masks
2017

Streaming recommender systems

Chang, S., Zhang, Y., Tang, J., Yin, D., Chang, Y., Hasegawa-Johnson, M. A. & Huang, T. S., Jan 1 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 381-389 9 p. 3052627. (26th International World Wide Web Conference, WWW 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recommender systems
Random processes

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Timofte, R., Agustsson, E., Gool, L. V., Yang, M. H., Zhang, L., Lim, B., Son, S., Kim, H., Nah, S., Lee, K. M., Wang, X., Tian, Y., Yu, K., Zhang, Y., Wu, S., Dong, C., Lin, L., Qiao, Y., Loy, C. C., Bae, W. & 57 others, Yoo, J., Han, Y., Ye, J. C., Choi, J. S., Kim, M., Fan, Y., Yu, J., Han, W., Liu, D., Yu, H., Wang, Z., Shi, H., Wang, X., Huang, T. S., Chen, Y., Zhang, K., Zuo, W., Tang, Z., Luo, L., Li, S., Fu, M., Cao, L., Heng, W., Bui, G., Le, T., Duan, Y., Tao, D., Wang, R., Lin, X., Pang, J., Xu, J., Zhao, Y., Xu, X., Pan, J., Sun, D., Zhang, Y., Song, X., Dai, Y., Qin, X., Huynh, X. P., Guo, T., Mousavi, H. S., Vu, T. H., Monga, V., Cruz, C., Egiazarian, K., Katkovnik, V., Mehta, R., Jain, A. K., Agarwalla, A., Praveen, C. V. S., Zhou, R., Wen, H., Zhu, C., Xia, Z., Wang, Z. & Guo, Q., Aug 22 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE Computer Society, p. 1110-1121 12 p. 8014883. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2017-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image resolution
Optical resolving power
Restoration
Gages
Testing

A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care

Morrow, D., Hasegawa-Johnson, M., Huang, T., Schuh, W., Azevedo, R. F. L., Gu, K., Zhang, Y., Roy, B. & Garcia-Retamero, R., May 1 2017, In : Journal of Biomedical Informatics. 69, p. 63-74 12 p.

Research output: Contribution to journalArticle

Electronic medical equipment
Electronic Health Records
Self Care
Patient Care
Health Literacy
2019

Unsupervised Representation Adversarial Learning Network: From Reconstruction to Generation

Zhou, Y., Gu, K. & Huang, T., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852395. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Entropy
Semantics
2016

Learning A Deep l∞ Encoder for Hashing

Zhangyang, W., Yingzhen, Y., Shiyu, C., Qing, L. & Huang, T. S., Jan 1 2016, In : IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 2174-2180 7 p.

Research output: Contribution to journalConference article

Lagrange multipliers
Feedforward neural networks
Neurons
Experiments
Deep learning

How deep neural networks can improve emotion recognition on video data

Khorrami, P., Le Paine, T., Brady, K., Dagli, C. & Huang, T. S., Aug 3 2016, 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings. IEEE Computer Society, p. 619-623 5 p. 7532431. (Proceedings - International Conference on Image Processing, ICIP; vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Neural networks
Network components
Deep neural networks
Experiments
2018

Visual recognition in very low-quality settings: Delving into the power of pre-training

Cheng, B., Liu, D., Wang, Z., Zhang, H. & Huang, T. S., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 8065-8066 2 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image quality
Image recognition
Image reconstruction
Degradation
Experiments
2017

Deep grabcut for object selection

Xu, N., Price, B., Cohen, S., Yang, J. & Huang, T. S., Jan 1 2017, British Machine Vision Conference 2017, BMVC 2017. BMVA Press, (British Machine Vision Conference 2017, BMVC 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Masks
Semantics
Experiments
2015

Semisupervised hyperspectral classification using task-driven dictionary learning with laplacian regularization

Wang, Z., Nasrabadi, N. M. & Huang, T. S., Mar 1 2015, In : IEEE Transactions on Geoscience and Remote Sensing. 53, 3, p. 1161-1173 13 p., 6868294.

Research output: Contribution to journalArticle

Glossaries
Classifiers
learning
Pixels
pixel
2018

Adversarial Complementary Learning for Weakly Supervised Object Localization

Zhang, X., Wei, Y., Feng, J., Yang, Y. & Huang, T. S., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 1325-1334 10 p. 8578242. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Network architecture
Semantics
Experiments
2015

Breaking the Barrier to Transferring Link Information across Networks

Qi, G. J., Aggarwal, C. C. & Huang, T. S., Jul 1 2015, In : IEEE Transactions on Knowledge and Data Engineering. 27, 7, p. 1741-1753 13 p., 6778767.

Research output: Contribution to journalArticle

Sampling

Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?

Khorrami, P., Le Paine, T. & Huang, T. S., Feb 11 2015, Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015. Institute of Electrical and Electronics Engineers Inc., p. 19-27 9 p. 7406361. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015-February).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Neurons
Labels
Classifiers
Visualization
2017

Image aesthetics assessment using Deep Chatterjee's machine

Wang, Z., Liu, D., Chang, S., Dolcos, F., Beck, D. M. & Huang, T. S., Jun 30 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 941-948 8 p. 7965953. (Proceedings of the International Joint Conference on Neural Networks; vol. 2017-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
High level synthesis
2019

Enhance Visual Recognition Under Adverse Conditions via Deep Networks

Liu, D., Cheng, B., Wang, Z., Zhang, H. & Huang, T. S., Sep 2019, In : IEEE Transactions on Image Processing. 28, 9, p. 4401-4412 12 p., 8678738.

Research output: Contribution to journalArticle

Image recognition
Image acquisition
Image reconstruction
Image quality
Visualization
2017

FAST TWO-DIMENSIONAL MEDIAN FILTERING ALGORITHM.

Huang, T. S., Yang, G. J. & Tang, G. Y., Jan 1 2017, p. 128-113. 16 p.

Research output: Contribution to conferencePaper

Sorting
2018

Revisiting RCNN: On awakening the classification power of faster RCNN

Cheng, B., Wei, Y., Shi, H., Feris, R., Xiong, J. & Huang, T., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Weiss, Y., Ferrari, V., Sminchisescu, C. & Hebert, M. (eds.). Springer-Verlag, p. 473-490 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11219 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Detector
Detectors
False Positive
Refinement
Classifiers
2017

DIGITAL PROCESSING OF SIGNALS IN COMMUNICATIONS.

Cuthbert, L. G., Coward, P. R., Stevenson, J. K., Broad, E. R., Adams, P. F., Martin, J. D., Metcalfe, J., Cain, G. D., Huang, T. S., Goodison, C. E., Wendland, B., May, F., Connor, D. J., Haskell, B. G. & Mounts, F. W., Jan 1 2017, In : [No source information available].

Research output: Contribution to journalArticle

Digital filters
Digital signal processing
Communication
Facsimile
Bandpass filters
2015

Special issue on concept detection with big data

Chang, S. F., Huang, T. S., Lew, M. S. & Thomee, B., Jun 1 2015, In : International Journal of Multimedia Information Retrieval. 4, 2, p. 73-74 2 p.

Research output: Contribution to journalEditorial

Big data

Heterogeneous network embedding via deep architectures

Chang, S., Han, W., Tang, J., Qi, G. J., Aggarwal, C. C. & Huang, T. S., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 119-128 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Heterogeneous networks
Data mining
Learning systems
Scalability
Experiments

Towards classification of social streams

Tsai, M. H., Aggarwal, C. C. & Huang, T. S., Jan 1 2015, SIAM International Conference on Data Mining 2015, SDM 2015. Ye, J. & Venkatasubramanian, S. (eds.). Society for Industrial and Applied Mathematics Publications, p. 649-657 9 p. (SIAM International Conference on Data Mining 2015, SDM 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers