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CoRR, January 2019
- Vlad Taran
, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. - Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. - Karim A. Banawan, Sennur Ulukus:
Private Information Retrieval from Non-Replicated Databases. - Zhenwei Miao, Kim-Hui Yap, Xudong Jiang, Subbhuraam Sinduja, Zhenhua Wang:
DCI: Discriminative and Contrast Invertible Descriptor. - Zhenwei Miao, Kim-Hui Yap, Xudong Jiang:
Interest Point Detection based on Adaptive Ternary Coding. - Burak Bartan, Mert Pilanci:
Convex Relaxations of Convolutional Neural Nets. - Matvey Arye, Siddhartha Sen, Michael J. Freedman:
Poor Video Streaming Performance Explained (and Fixed). - Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu:
Mask-aware networks for crowd counting. - Alireza Sedghi, Jie Luo, Alireza Mehrtash
, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Deep Information Theoretic Registration. - Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica:
Dynamic Space-Time Scheduling for GPU Inference. - Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima:
SiCloPe: Silhouette-Based Clothed People. - Long Zhang, Xuechao Sun, Yong Li, Zhenyu Zhang:
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks. - (Withdrawn) Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions.
- Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. - Ami Tavory:
The Stochastic Complexity of Principal Component Analysis. - Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang:
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. - Peter Eckersley:
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function). - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
Improving Tree-LSTM with Tree Attention. - Gábor Petneházi:
Recurrent Neural Networks for Time Series Forecasting. - Sean Robertson, Gerald Penn, Yingxue Wang:
Exploring spectro-temporal features in end-to-end convolutional neural networks. - Bernd Finkbeiner, Samantha Kleinberg:
Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology, CREST@ETAPS 2018, Thessaloniki, Greece, 21st April 2018. EPTCS 286, 2019 [contents] - Ramin Ayanzadeh, Seyedahmad Mousavi, Milton Halem, Tim Finin:
Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty. - Hader E. El-hmaily, Rabab Ezz-Eldin, Ahmed I. A. Galal, Hesham F. A. Hamed:
High Performance GNR Power Gating for Low-Voltage CMOS Circuits. - Jiarong Dong, Ke Gao, Xiaokai Chen, Junbo Guo, Juan Cao, Yongdong Zhang:
Not All Words are Equal: Video-specific Information Loss for Video Captioning. - (Withdrawn) Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models.
- Zhiri Tang, Ruohua Zhu, Peng Lin, Jin He, Hao Wang, Qijun Huang, Sheng Chang, Qiming Ma:
A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism. - Jinwook Huh, Omur Arslan, Daniel D. Lee:
Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning. - Ranjan Mondal, Sanchayan Santra
, Bhabatosh Chanda:
Dense Morphological Network: An Universal Function Approximator. - Jie Song, Yichuan Zhang, Yubin Bao, Ge Yu:
Probery: A Probability-based Incomplete Query Optimization for Big Data. - Yonatan Glassner, Liran Gispan, Ariel Ayash, Tal Furman Shohet:
Closing the gap towards end-to-end autonomous vehicle system. - Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran:
An Active Learning Framework for Efficient Robust Policy Search. - Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan:
Gated-Dilated Networks for Lung Nodule Classification in CT scans. - Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh:
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review. - Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua:
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. - Zheng-Chu Guo, Lei Shi, Shao-Bo Lin:
Realizing data features by deep nets. - Francesco Malandrino, Carla-Fabiana Chiasserini:
5G Traffic Forecasting: If Verticals and Mobile Operators Cooperate. - Zhuoran Yang, Yuchen Xie, Zhaoran Wang:
A Theoretical Analysis of Deep Q-Learning. - Josep Díaz, Lefteris M. Kirousis, Sofia Kokonezi, John Livieratos
:
Algorithmically Efficient Syntactic Characterization of Possibility Domains. - Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, Jian Sun:
Rethinking on Multi-Stage Networks for Human Pose Estimation. - Andrey Polyakov, Mikhail L. Zymbler:
Parallel Algorithm for Time Series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor. - Faisal N. Abu-Khzam, Judith Egan, Serge Gaspers, Alexis Shaw, Peter Shaw:
On the Parameterized Cluster Editing with Vertex Splitting Problem. - Wanrong Zhu, Zhiting Hu, Eric P. Xing:
Text Infilling. - Mahesh Babu Vaddi, B. Sundar Rajan:
A Field-Size Independent Code Construction for Groupcast Index Coding Problems. - Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das:
Handwritten Indic Character Recognition using Capsule Networks. - Martin Weiß:
Optimal Object Placement using a Virtual Axis. - Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang:
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. - Shaobo Han, David B. Dunson:
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks. - Dogan Ulus:
Online Monitoring of Metric Temporal Logic using Sequential Networks. - Jingbo Liu, Mohammad Hossein Yassaee, Sergio Verdú:
Sharp Bounds for Mutual Covering. - W. W. N. C. K. Palagolla, A. P. R. Wickramarachchi
:
Effective integration of ICT to facilitate the secondary education in Sri Lanka. - Jung Hoon Lee:
Complementary reinforcement learning towards explainable agents. - Ali Momeni, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck, Mahdi Orooji:
End-to-End Performance Optimization in Hybrid Molecular and Electromagnetic Communications. - Raimondas Ciegis, Petr N. Vabishchevich:
High order numerical schemes for solving fractional powers of elliptic operators. - Ramin Hasibi, Matin Shokri, Mehdi Dehghan Takht Fooladi:
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning. - Mehryar Emambakhsh, Adrian N. Evans:
Nasal Patches and Curves for Expression-robust 3D Face Recognition. - Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai:
Smart Information Spreading for Opinion Maximization in Social Networks. - Andrea Zanette, Emma Brunskill:
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds. - Bashar Alhafni, Saulo Fernando Guedes, Lays Cavalcante Ribeiro, Juhyun Park, Jeongkyu Lee:
Mapping Areas using Computer Vision Algorithms and Drones. - Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi:
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. - Soummya Kar
, Brian Swenson:
Clustering with Distributed Data. - Tingting Qiao, Weijing Zhang, Miao Zhang, Zixuan Ma, Duanqing Xu:
Ancient Painting to Natural Image: A New Solution for Painting Processing. - Shubham S. Srivastava, Medha Atre, Shubham Sharma, Rahul Gupta, Sandeep K. Shukla:
Verity: Blockchains to Detect Insider Attacks in DBMS. - Ismael Herrera-Revilla, Iván Contreras, Graciela S. Herrera:
The Divide-and-Conquer Framework: A Suitable Setting for the DDM of the Future. - Shuai Ma, Jinpeng Huai:
Approximate Computation for Big Data Analytics. - Heng Liu, Haoming Jia, Jiaqi Chen, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Computing Resource Allocation of Mobile Edge Computing Networks Based on Potential Game Theory. - Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, George Alexandrov, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Ana C. Arias, Luca Benini, Jan M. Rabaey:
Adaptive EMG-based hand gesture recognition using hyperdimensional computing. - Gang Xu, Ran Ling, Yongjie Jessica Zhang, Zhoufang Xiao, Zhongping Ji, Timon Rabczuk:
Singularity Structure Simplification of Hexahedral Mesh via Weighted Ranking. - San Ling, Khoa Nguyen, Huaxiong Wang, Yanhong Xu:
Accountable Tracing Signatures from Lattices. - Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. - Christopher J. Hazard, Christopher Fusting, Michael Resnick, Michael Auerbach, Michael Meehan, Valeri Korobov:
Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions. - Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. - Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem:
General Subpopulation Framework and Taming the Conflict Inside Populations. - Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Learning Humanoid Robot Motions Through Deep Neural Networks. - Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao:
Vector and Line Quantization for Billion-scale Similarity Search on GPUs. - Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su:
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. - Kenji Kawaguchi, Leslie Pack Kaelbling:
Elimination of All Bad Local Minima in Deep Learning. - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. - Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen:
End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking. - Vidya Prasad K, Akarsh S, R. Vinayakumar, Soman K. P:
A Deep Learning Approach for Similar Languages, Varieties and Dialects. - Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. - Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. - Abolfazl Danayi, Saeed Sharifian:
openCoT: The opensource Cloud of Things platform. - Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye:
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images. - Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. - Zheng Dong, Jian-Kang Zhang, He Chen:
Average SEP-Optimal Precoding for Correlated Massive MIMO with ZF Detection: An Asymptotic Analysis. - Torgeir Dingsøyr, Davide Falessi, Ken Power:
Agile Development at Scale: The Next Frontier. - Michal Koperski, Tomasz K. Konopczynski, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. - Valerie Chen, Valerio Pastro, Mariana Raykova:
Secure Computation for Machine Learning With SPDZ. - Seth Gilbert, Peter Robinson, Suman Sourav:
Leader Election in Well-Connected Graphs. - Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof:
Abstractions of linear dynamic networks for input selection in local module identification. - Massimiliano Dal Mas:
Responsive Equilibrium for Self-Adaptive Ubiquitous Interaction. - Sudip Poddar, Robert Wille, Hafizur Rahaman, Bhargab B. Bhattacharya:
Dilution with Digital Microfluidic Biochips: How Unbalanced Splits Corrupt Target-Concentration. - Wenchao Xia
, Gan Zheng, Yongxu Zhu, Jun Zhang, Jiangzhou Wang, Athina P. Petropulu:
A Deep Learning Framework for Optimization of MISO Downlink Beamforming. - Bowen Lin, Shujun Fu, Caiming Zhang, Fengling Wang, Yuliang Li:
Optical Fringe Patterns Filtering Based on Multi-Stage Convolution Neural Network. - Jiaming Liu, Chengquan Zhang, Yipeng Sun, Junyu Han, Errui Ding:
Detecting Text in the Wild with Deep Character Embedding Network. - Karl Schlechta:
KI, Philosophie, Logik. - Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang
, Yimin Chen:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Chong Zhang, Yao Qin, Gongpu Wang, Ruisi He, Rongfei Fan:
Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels. - Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander:
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. - Anton Badev:
Nash Equilibria on (Un)Stable Networks. - Anaïs Vergne, Laurent Decreusefond, Philippe Martins:
Computing the k-coverage of a wireless network. - Han Mao Kiah, Anshoo Tandon, Mehul Motani:
Generalized Sphere-Packing Bound for Subblock-Constrained Codes. - Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu:
Attribute-Aware Attention Model for Fine-grained Representation Learning. - Harish Kannan, Emil Saucan, Indrava Roy, Areejit Samal:
Persistent homology of unweighted complex networks via discrete Morse theory. - Belén Saldías-Fuentes, Pavlos Protopapas, Karim Pichara B.:
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. - Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei:
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. - Oren Halvani, Christian Winter, Lukas Graner:
Unary and Binary Classification Approaches and their Implications for Authorship Verification. - Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann:
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning. - Yi Luan:
Information Extraction from Scientific Literature for Method Recommendation. - Shiva Kumar H. R., A. G. Ramakrishnan:
Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script. - Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen Hoang Tran, Quan Z. Sheng:
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. - Wim Vanderbauwhede, Syed Waqar Nabi:
Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs. - Simon Cooksey, Sarah Harris, Mark Batty, Radu Grigore, Mikolás Janota:
PrideMM: A Solver for Relaxed Memory Models. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Gender bias in academic recruitment. - Dimitrios Rafailidis, Yannis Manolopoulos:
The Technological Gap Between Virtual Assistants and Recommendation Systems. - Pierre Baldi, Roman Vershynin:
The capacity of feedforward neural networks. - Oguzhan Gencoglu:
Deep Representation Learning for Clustering of Health Tweets. - Li-Xin Wang:
Hierarchical Fuzzy Opinion Networks: Top-Down for Social Organizations and Bottom-Up for Election. - (Withdrawn) BMF: Block matrix approach to factorization of large scale data.
- Andres Ferraro, Dmitry Bogdanov, Jisang Yoon, KwangSeob Kim, Xavier Serra:
Automatic playlist continuation using a hybrid recommender system combining features from text and audio. - Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh:
SGD Converges to Global Minimum in Deep Learning via Star-convex Path. - Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez
, Frédéric Comby, Dominique Fouchez, Marc Chaumont
:
A CNN adapted to time series for the classification of Supernovae. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor. - Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Learning Generalizable Physical Dynamics of 3D Rigid Objects. - Hsin-Hao Su, Hoa T. Vu:
Towards the Locality of Vizing's Theorem. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
Minimizing The Age of Information in a CSMA Environment. - Meera Hahn, Andrew Silva, James M. Rehg:
Action2Vec: A Crossmodal Embedding Approach to Action Learning. - Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li:
Improving Face Anti-Spoofing by 3D Virtual Synthesis. - Evan Cavallo
, Robert Harper:
Parametric Cubical Type Theory. - Riham S. Elhabyan, Wei Shi, Marc St-Hilaire:
Coverage Protocols for Wireless Sensor Networks: Review and Future Directions. - Eitan Netzer, Alex Frid, Dan Feldman:
Real-Time EEG Classification via Coresets for BCI Applications. - Chloe He
, Alexis Gkantiragas
, Gerard Glowacki:
Honey Authentication with Machine Learning Augmented Bright-Field Microscopy. - Alexandra N. M. Darmon, Marya Bazzi, Sam D. Howison, Mason A. Porter:
Pull out all the stops: Textual analysis via punctuation sequences. - Bin Ma, Shubao Liu, Yingxuan Zhi, Qi Song:
Flow Based Self-supervised Pixel Embedding for Image Segmentation. - Victor Davis:
Types, Tokens, and Hapaxes: A New Heap's Law. - Daniel Kent, Fathi M. Salem:
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer.