Monday 31 October 2016

Call for Papers: the 2017 IEEE International conference on Fuzzy Systems

The 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), a top-leading event in the area of theory and application of fuzzy logic, will be held in Naples, Italy. Naples is the third largest municipality in Italy. The city is located in the south of Italy. It is nestled between the islands of Capri, lschia and Procida on one side, and the coast of Amalfi and Sorrento on the other, forming a unique natural heritage in the world. The history of Naples is characterised by a plethora of different dominations that have left inestimable pieces of art and signs of different cultures making the whole urban area a UNESCO World Heritage Site.
FUZZ-IEEE 2017 will be hosted at Royal-Continental Hotel, a fantastic and welcoming conference venue situated at one of the most beautiful places on the planet, Naples's waterfront.
FUZZ-IEEE 2017 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy logic and its hybridisations with other artificial and computational intelligence techniques. In particular, FUZZ-IEEE 2017 topics include, but are not limited to:
        Mathematical and theoretical foundations of fuzzy sets, fuzzy measures and fuzzy integrals
        Fuzzy control, robotics, sensors, fuzzy hardware and architectures
        Fuzzy data analysis, fuzzy clustering, classification and pattern recognition
        Type-2 fuzzy sets, computing with words and granular computing
        Fuzzy systems with big data and cloud computing, fuzzy analytics and visualization
        Fuzzy systems design and optimization
        Fuzzy decision analysis, multi-criteria decision making and decision support
        Fuzzy logic and its applications in Industrial Engineering
        Fuzzy modelling, identification and fault detection
        Fuzzy information processing, information extraction and fusion
        Fuzzy web engineering, information retrieval, text mining and social network analysis
        Knowledge discovery, learning, reasoning and knowledge representation
        Fuzzy image, speech and signal processing, vision and multimedia data
        Fuzzy databases and information retrieval
        Rough sets, imprecise probabilities, possibilities approaches
        Industrial, financial, and medical applications
        Fuzzy logic application in civil engineering, geographical information systems
        Fuzzy sets and soft computing in social sciences
        Linguistic summarization, natural language processing
        Computational Intelligence in security systems
        Hardware/Software for fuzzy systems
        Fuzzy Markup Language and standard technologies for fuzzy systems
        Adaptive, hierarchical and hybrid (neuro- and evolutionary-) fuzzy systems

The conference will include regular oral and poster presentations, tutorials, panels, special sessions and keynote presentations. Full details of the submission process for papers, tutorials and panels will be made available on the conference website.

Important dates
Deadline for special session, tutorial and panel session proposals, October 25,2016
Notification of acceptance tutorials, special sessions and panels, November 25, 2016
Deadline for paper submission, January 25, 2017
Notification of acceptance for papers, March 10, 2017
Deadline for camera-ready paper submission, April 8, 2017
Deadline for early registration, April 10, 2017

Conference, July 9-12, 2017           

General Chairs
Giovanni Acampora, Italy
Bruno Siciliano, Italy

Monday 24 October 2016

IEEE Workshop on Advanced NeuroTechnologies for BRAIN Initiatives

IEEE Workshop on Advanced NeuroTechnologies for BRAIN Initiatives
November 10-11, 2016
Sheraton San Diego Hotel and Marina, California

The IEEE Workshop on Advanced NeuroTechnologies for BRAIN Initiatives, sponsored by the IEEE Brain Initiative, will be held November 10-11, 2016, at the Sheraton San Diego Hotel and Marina, California. We strongly encourage members of both the Neuroscience and Engineering Communities to attend this highly multidisciplinary workshop.

The workshop will highlight the development of novel electronic and photonic devices and techniques for experimental probing, neural simulation studies, and the design and development of human-machine interface systems, artificial vision sensors, and neural prosthesis have significantly restored and enhanced the impaired sensory functions and motor systems. Furthermore, we highlight these recent technological advances by focusing on advanced technologies that monitor and control brain activities to treat neurological diseases, including Alzheimer's, Epilepsy, Depression, etc., from the molecular to systemic levels.

Invited talks will be presented by internationally well respected researchers. This workshop will provide a unique interactive platform to exchange of ideas in the areas of BRAIN initiatives with leading researchers and medical and industry professionals.

Tentative Program at a Glance

November 10, 2016
8:15 AM – 6:00 PM PST
Opening and Welcome Remarks
Andrew Laine, IEEE EMBS President
Paul Sajda, Chair, IEEE Brain Initiative
Metin Akay, Chair, Advanced Technologies for Brain Initiatives Workshop

Symposium #1: Brain Initiatives
Phillip Alvelda, DARPA
Ted Berger, University of Southern California
Carol Lucas, NSF
Edmund (Ned) Talley, NIH
Kamil Ugurbil, University of Minnesota

Symposium #2: Neural Implants and Prosthetics: Translational Neural Engineering
Gert Cauwenberghs, University of California, San Diego
Michel M. Maharbiz, University of California, Berkely
Jacob Robinson, Rice University
Mario Romero-Ortega, University of Texas,Dallas

Symposium #3: Brain Mapping and Connectivity
Dominique Durand, Case Western Reserve University
Warren Grill, Duke University
Paul Sajda, Columbia University
John White, Boston University

November 11, 2016
8:30 AM – 12:00 PM PST
Symposium #4: Advances in Brain-Computer Interface
Jose Carmena,University of California Berkeley
Dario Farina,Goettingen University
Karim Oweiss,University of Florida
Maryam Shanechi,University of Southern California

Symposium #5: Neurotechnology for Rehabilitation
Robert Kirsch, Case Western Reserve University
Lee Miller,Northwestern University and RIC
Jose Pons,Neural Rehabilitation Group, Cajal Institute
Eric Perreault, Northwestern University and RIC

Tuesday 18 October 2016

Call for Papers CEC 2017

We are pleased to announce that the 2017 IEEE Conference on Evolutionary Computation (  will be held in San Sebastian, Spain, in June 5-8, 2017.

IEEE CEC  is a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking to establish new connections and foster everlasting friendship among fellow counterparts.

Donostia/San Sebastian is a coastal medium-size city located in northern Spain, 20km from the border with France. It stands as an amphitheatre over-looking the sea. It is known the world over for its spectacular bay and is referred to as the Pearl of the Cantabrian Sea. It is also internationally renowned for being a culinary haven where visitors will find more Michelin stars per square meter than in any other city in the world. The conference will take place at the Kursaal Convention Center and Auditorium. Kursaal is located in the city center, overlooking the seafront. This avant-garde architectural showpiece was designed by Rafael Moneo  and won the Mies van der Rohe prize for the best building in Europe in 2001. The main hotels, restaurants and shopping areas are within walking distance.

CEC 2017 covers all topics in the field of Evolutionary Computation including the following non-exhaustive list:

  • Genetic algorithms
  • Genetic programming
  • Estimation of distribution algorithms
  • Evolutionary programming
  • Evolution strategies
  • Bioinformatics and bioengineering
  • Coevolution and collective behavior
  • Combinatorial and numerical optimization
  • Constraint and uncertainty handling
  • Evolutionary data mining
  • Evolutionary learning systems
  • Evolvable/adaptive hardware and systems
  • Evolving neural networks and fuzzy systems
  • Evolutionary multi-objective optimization
  • Ant colony optimization
  • Artificial life
  • Agent-based systems
  • Molecular and quantum computing
  • Particle Swarm Optimization
  • Artificial immune systems
  • Representation and operators
  • Industrial applications of EC
  • Evolutionary game theory
  • Cognitive systems and applications
  • Computational finance and economics
  • Estimation of distribution algorithms
  • Evolutionary design
  • Evolutionary scheduling

Important Dates:

Submission deadline for special sessions: November 7, 2016

Deadline for the submission of tutorials and competitions proposals: January  9, 2017

Paper submission deadline: January 16, 2017   

Paper Decision notification: February 26, 2017

All the papers have to be submitted electronically through the congress application.

For Program inquiries please contact the Program Chair, Carlos Coello at

General inquiries for IEEE CEC 2017 should be sent to the General Chair, Jose A. Lozano at

You can also follow CEC 2017 on Twitter:

We are looking forward to seeing you in San Sebastian!

Sunday 9 October 2016

Call for Papers IJCNN Special Session "Concept Drift, Domain Adaptation & Learning in Dynamic Environments"

Special Session on "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" will be held within the INNS-IEEE IJCNN 2017, Anchorage Alaska in May, 14-19 2017.


Paper submission: November 15th, 2016
Paper Decision notification: January 20th, 2017
Camera-ready submission: February 20th, 2017
Conference Dates: May 14 - 19th, 2017

One of the fundamental goals in computational intelligence is to achieve brain-like intelligence, a remarkable property of which is the ability to incrementally learn from noisy and incomplete data, and ability to adapt to changing environments. The special session aims at presenting novel approaches to incremental learning and adaptation to dynamic environments both from the more traditional and theoretical perspective of computational intelligence and from the more practical and application-oriented one.

This Special Session aspires at building a bridge between academic and industrial research, providing a forum for researchers in this area to exchange new ideas with each other, as well as with the rest of the neural network & computational intelligence community.


Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:
  • Methodologies/algorithms/techniques for learning in dynamic/non-stationary environments
  • Incremental learning, lifelong learning, cumulative learning
  • Domain adaptation and covariate-shift adaptation
  • Semi-supervised learning methods for nonstationary environments
  • Ensemble methods for learning in nonstationary environments
  • Learning under concept drift and class imbalance
  • Learning recurrent concepts
  • Change-detection and anomaly-detection algorithms
  • Information-mining algorithms in nonstationary datastreams
  • Cognitive-inspired approaches for adaptation and learning
  • Applications that call for learning in dynamic/non-stationary environments, or change/anomaly detection, such as
    • adaptive classifiers for concept drift
    • adaptive/Intelligent systems
    • fraud detection
    • fault detection and diagnosis
    • network-intrusion detection and security
    • intelligent sensor networks
    • time series analysis
  • Benchmarks/standards for evaluating algorithms learning in non-stationary/dynamic environments


Concept drift, nonstationary environment, change/anomaly detection, domain adaptation, incremental learning, data streams.

Paper Submission


All the submissions will be peer-reviewed with the same criteria used for other contributed papers.

Perspective authors will submit their papers through the IJCNN 2017 conference submission system at

Please make sure to select the Special Session nr 5 "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list;

Templates and instruction for authors will be provided on the IJCNN webpage

All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the IEEE Conference Proceedings .

Further information about IJCNN 2017 can be found at

For any question you may have about the Special Session or paper submission, feel free to contact Giacomo Boracchi


  • Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy)
  • Robi Polikar (Rowan University, Glassboro, NJ, USA)
  • Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) 
  • Gregory Ditzler, (University of Arizona, AZ, USA)

Call for Papers: IEEE CIBCB 2017

IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology
23-25 August 2017 – Manchester, UK


The IEEE Conference on Computational in Bioinformatics and Computational Biology (IEEE CIBCB) has become a major technical event in the field of Computational Intelligence (CI) and its application to problems in bioinformatics, computational biology, and biomedical engineering. IEEE CIBCB 2017 provides a global forum for academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics, statistics, and engineering, to discuss and present their latest research findings from theory to applications.
IEEE CIBCB will be held at the INNSIDE Hotel, Manchester, UK. Manchester is a city which has grown from the first industrial city and the home of the first programmable computer, to be the central hub of the “Powerhouse of the North” of England – an influential, modern, knowledge-based city amongst the top European locations for science, healthcare, education, business and leisure.
2017 marks also the return of IEEE CIBCB to Europe, having been hosted here only once before (Paris, 2011) since its foundation in 2004 We believe that the UK and Manchester is the right location to expand the popularity of this exciting research field and the CIBCB conference itself in this part of the world.

Call for Papers

Papers for IEEE CIBCB 2017 should be submitted electronically through the Conference website at, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. Topics of interest include but are not limited to:

CI in Bioinformatics
  • Evolution, phylogeny, comparative genomics
  • Gene expression array analysis
  • Metabolic pathway analysis
  • MicroRNA analysis
  • Molecular sequence alignment and analysis
  • Pattern recognition/data mining/optimization methods in Bioinformatics
  • Visualization of large biological data sets

CI in Computational Biology
  • Systems and synthetic biology
  • Structure prediction and folding
  • Modelling, simulation, and optimization of biological systems
  • Biological network reconstruction/robustness/evolvability
  • Epigenomics

CI in Biomedical Engineering, Bioprocessing and Healthcare Informatics
  • Medical imaging and pattern recognition
  • Biomedical data modelling/data mining/model parametrization
  • Parallel/high performance computing
  • Big data analysis and tools for biological and medical data
  • Biomarker discovery and development
  • Health data acquisition/analysis/mining
  • Healthcare information systems/knowledge representation/reasoning
  • Personalized medicine and treatment optimization
  • Biopharmaceutical manufacturing
  • Closed-loop optimization methods/platforms

Call for Special Session Proposals

IEEE CIBCB 2017 solicits proposals for special sessions within the technical scope of the conference. Special session proposals should include the session title, a brief description of the scope, contact information and brief CV of the organizers. Inquiries regarding special session proposals should be addressed to the Special Session Chair.

Call for Tutorials

IEEE CIBCB 2017 will feature tutorials covering fundamental and advanced topics in computational intelligence and its application to problems within the scope of the conference. A tutorial proposal should include title, outline, enrolment, and presenter/organizer biography. Inquiries regarding tutorial proposals should be addressed to the Tutorial Chair.

Call for Competitions

IEEE CIBCB 2017 enters all accepted posters into a Best Poster Competition. All conference attendees will have the chance to vote in the Competition on site. The best judged poster will win a prize and featured on the IEEE CIBCB 2017 website. Inquiries regarding the Competition should be addressed to the Competition Chair.

General Chair:
Richard Allmendinger (UK)
Program Chair:
Steven Corns (USA)

Technical Co-Chairs:
Julia Handl (UK)
John Keane (UK)
Anil Wipat (UK)

Finance Chair:
Wendy Ashlock (Canada)

Publicity Chair:
Dan Ashlock (Canada)
Sansanee Auephanwiriyakul (Thailand)
Jennifer Hallinan (Australia)
Yaochu Jin (UK)
Sanaz Mostaghim (Germany)

Tutorial Chair:
Joshua Knowles (UK)

Proceedings Chair:
Sheridan Houghten (Canada)

Web Chair:
Manuel López-Ibáñez (UK)

Special Chair:
Joseph Brown (Russia)

Competition Chair:
Pedro Mendes (UK)

Local Chair:
Yu-Wang Chen (UK)

Important Dates

Special sessions proposals:
13 January 2017

Tutorial proposals:
10 February 2017

Paper submission:
31 March 2017

Paper acceptance notification:
2 June 2017

Final paper submission and early registration deadline:
30 June 2017

IEEE Transactions on Evolutionary Computation, Volume 20, Issue 5, October 2016

1. Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization
Author(s): Miqing Li; Shengxiang Yang; Xiaohui Liu
Page(s): 645 - 665

2. An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization
Author(s): Jianhua Liu; Yi Mei; Xiaodong Li
Page(s): 666 - 681

3. Algebraic Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem With Total Flowtime Criterion
Author(s): Valentino Santucci; Marco Baioletti; Alfredo Milani
Page(s): 682 - 694

4. Kuhn–Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks
Author(s): Xin-Yuan Zhang; Jun Zhang; Yue-Jiao Gong; Zhi-Hui Zhan; Wei-Neng Chen; Yun Li
Page(s): 695 - 710

5. A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems
Author(s): Qiuzhen Lin; Jianyong Chen; Zhi-Hui Zhan; Wei-Neng Chen; Carlos A. Coello Coello; Yilong Yin; Chih-Min Lin; Jun Zhang
Page(s): 711 - 729

6. Metaheuristics for Specialization of a Segmentation Algorithm for Ultrasound Images
Author(s): Francesco Rogai; Claudia Manfredi; Leonardo Bocchi
Page(s): 730 - 741

7. On Routine Evolution of Complex Cellular Automata
Author(s): Michal Bidlo
Page(s): 742 - 754

8. Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems
Author(s): Yiu-ming Cheung; Fangqing Gu; Hai-Lin Liu
Page(s): 755 - 772

9. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
Author(s): Ran Cheng; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff
Page(s): 773 - 791

10. A Self-Organizing Multiobjective Evolutionary Algorithm
Author(s): Hu Zhang; Aimin Zhou; Shenmin Song; Qingfu Zhang; Xiao-Zhi Gao; Jun Zhang
Page(s): 792 - 806

11. Pareto Fronts of Many-Objective Degenerate Test Problems
Author(s): Hisao Ishibuchi; Hiroyuki Masuda; Yusuke Nojima
Page(s): 807 - 813

12. Stability Analysis of the Particle Swarm Optimization Without Stagnation Assumption
Author(s): Mohammad Reza Bonyadi; Zbigniew Michalewicz
Page(s): 814 - 819

IEEE Transactions on Fuzzy Systems, Volume 24, Issue 5

1. On Pythagorean and Complex Fuzzy Set Operations
Author(s): Scott Dick; Ronald R. Yager; Omolbanin Yazdanbakhsh
Page(s): 1009 - 1021

2. Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices
Author(s): Lorenzo Livi; Hooman Tahayori; Antonello Rizzi; Alireza Sadeghian; Witold Pedrycz
Page(s): 1022 - 1034

3. Power Average of Trapezoidal Intuitionistic Fuzzy Numbers Using Strict t-Norms and t-Conorms
Author(s): Shu-Ping Wan; Zhi-Hong Yi
Page(s): 1035 - 1047

4. Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method
Author(s): Shiping Wen; Tingwen Huang; Xinghuo Yu; Michael Z. Q. Chen; Zhigang Zeng
Page(s): 1048 - 1057

5. Fault Detection and Isolation for Affine Fuzzy Systems With Sensor Faults
Author(s): Huimin Wang; Guang-Hong Yang; Dan Ye
Page(s): 1058 - 1071

6. Knowledge Measure for Atanassov's Intuitionistic Fuzzy Sets
Author(s): Kaihong Guo
Page(s): 1072 - 1078

7. Takagi–Sugeno–Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals
Author(s): Changjian Yang; Zhaohong Deng; Kup-Sze Choi; Shitong Wang
Page(s): 1079 - 1094

8. A Survey of Adaptive Fuzzy Controllers: Nonlinearities and Classifications
Author(s): Meng Joo Er; Sayantan Mandal
Page(s): 1095 - 1107

9. Optimal Design of Constraint-Following Control for Fuzzy Mechanical Systems
Author(s): Ruiying Zhao; Ye-Hwa Chen; Shengjie Jiao
Page(s): 1108 - 1120

10. Multiscale Opening of Conjoined Fuzzy Objects: Theory and Applications
Author(s): Punam K. Saha; Subhadip Basu; Eric A. Hoffman
Page(s): 1121 - 1133

11. Decentralized State Feedback Control of Uncertain Affine Fuzzy Large-Scale Systems With Unknown Interconnections
Author(s): Huimin Wang; Guang-Hong Yang
Page(s): 1134 - 1146

12. Fuzzy Adaptive Control With State Observer for a Class of Nonlinear Discrete-Time Systems With Input Constraint
Author(s): Yan-Jun Liu; Shaocheng Tong; Dong-Juan Li; Ying Gao
Page(s): 1147 - 1158

13. Fuzzy-Based Goal Representation Adaptive Dynamic Programming
Author(s): Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu
Page(s): 1159 - 1175

14. Nonparametric Statistical Active Contour Based on Inclusion Degree of Fuzzy Sets
Author(s): Maoguo Gong; Hao Li; Xiang Zhang; Qiunan Zhao; Bin Wang
Page(s): 1176 - 1192

15. The Role of Crisp Elements in Fuzzy Ontologies: The Case of Fuzzy OWL 2 EL
Author(s): Fernando Bobillo
Page(s): 1193 - 1209

16. Transfer Prototype-Based Fuzzy Clustering
Author(s): Zhaohong Deng; Yizhang Jiang; Fu-Lai Chung; Hisao Ishibuchi; Kup-Sze Choi; Shitong Wang
Page(s): 1210 - 1232

17. Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
Author(s): Hongyi Li; Chengwei Wu; Shen Yin; Hak-Keung Lam
Page(s): 1233 - 1245

18. Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application
Author(s): Pengzhi Li; Peiyue Li; Yongxin Sui
Page(s): 1246 - 1254

Monday 3 October 2016

IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 10, October 2016

1. Why Deep Learning Works: A Manifold Disentanglement Perspective
Author(s): Pratik Prabhanjan Brahma; Dapeng Wu; Yiyuan She
Page(s): 1997 - 2008

2. Feedback Solution to Optimal Switching Problems With Switching Cost
Authors: Ali Heydari
Page(s): 2009 - 2019

3. Geometric Bioinspired Networks for Recognition of 2-D and 3-D Low-Level Structures and Transformations Metrics by Information Projection
Authors: Eduardo Bayro-Corrochano; Eduardo Vazquez-Santacruz; Eduardo Moya-Sanchez; Efrain Castillo-Muñis
Page(s): 2020 - 2034

4. Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference
Authors: Wei Shiung Liew; Manjeevan Seera; Chu Kiong Loo; Einly Lim; Naoyuki Kubota
Page(s): 2035 - 2046

5. Space Structure and Clustering of Categorical Data
Authors: Yuhua Qian; Feijiang Li; Jiye Liang; Bing Liu; Chuangyin Dang
Page(s): 2047 - 2059

6. Kohonen’s Map Approach for the Belief Mass Modeling
Authors: Imen Hammami; Grégoire Mercier; Atef Hamouda; Jean Dezert
Page(s): 2060 - 2071

7. Multiple Ordinal Regression by Maximizing the Sum of Margins
Authors: Onur C. Hamsici; Aleix M. Martinez
Page(s): 2072 - 2083

8. Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller
Authors: Chih-Min Lin; Ming-Shu Yang; Fei Chao; Xiao-Min Hu; Jun Zhang
Page(s): 2084 - 2094

9. Directional Clustering Through Matrix Factorization
Authors: Thomas Blumensath
Page(s): 2095 - 2107

10. Learning With Jensen-Tsallis Kernels
Authors: Debarghya Ghoshdastidar; Ajay P. Adsul; Ambedkar Dukkipati
Page(s): 2108 - 2119

11. Tensor LRR and Sparse Coding-Based Subspace Clustering
Authors: Yifan Fu; Junbin Gao; David Tien; Zhouchen Lin; Xia Hong
Page(s): 2120 - 2133

12. Model-Free Optimal Tracking Control via Critic-Only Q-Learning
Authors: Biao Luo; Derong Liu; Tingwen Huang; Ding Wang
Page(s): 2134 - 2144