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Semantic ScholarCoRR, April 2017
Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola:
Spectral Methods for Nonparametric Models.- Carsten Witt:
Upper Bounds on the Runtime of the Univariate Marginal Distribution Algorithm on OneMax. - Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, Aaron C. Courville:
Improved Training of Wasserstein GANs. - Tobias Nett, Sven Karol, Jerónimo Castrillón, Ivo F. Sbalzarini:
A Domain-Specific Language and Editor for Parallel Particle Methods. - Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee:
Transfer of View-manifold Learning to Similarity Perception of Novel Objects. - Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach. - Majid Mohammadi, Amir Ahooye Atashin, Wout Hofman, Yao-Hua Tan:
Comparison of ontology alignment algorithms across single matching task via the McNemar test. - Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes:
Reading Wikipedia to Answer Open-Domain Questions. - Katharina Kann, Ryan Cotterell, Hinrich Schütze:
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. - Layla El Asri, Hannes Schulz, Shikhar Sharma, Jeremie Zumer, Justin Harris, Emery Fine, Rahul Mehrotra, Kaheer Suleman:
Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems. - Makoto Kobayashi, Ryo Murakami, Shunsuke Saruwatari, Takashi Watanabe:
Wireless Full-duplex Medium Access Control for Enhancing Energy Efficiency. - Ali Dorri, Marco Steger, Salil S. Kanhere, Raja Jurdak:
BlockChain: A distributed solution to automotive security and privacy. - Verena Käfer, Daniel Kulesz, Stefan Wagner:
What Is the Best Way For Developers to Learn New Software Tools? An Empirical Comparison Between a Text and a Video Tutorial. - Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras:
Geodesic Distance Histogram Feature for Video Segmentation. - Kevin Yu, Ashish Kumar Budhiraja, Pratap Tokekar:
Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations and for Package Delivery. - Yanhong A. Liu, Saksham Chand, Scott D. Stoller:
Moderately Complex Paxos Made Simple: High-Level Specification of Distributed Algorithm. - Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba, Shin Ishii:
Efficient Asymmetric Co-Tracking using Uncertainty Sampling. - Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde:
Learning to Predict Indoor Illumination from a Single Image. - Jiajun Lu, Theerasit Issaranon, David A. Forsyth:
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly. - Jie Xu, Hang Wu, Lixing Chen, Cong Shen:
Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing. - Wang Chi Cheung, David Simchi-Levi:
Assortment Optimization under Unknown MultiNomial Logit Choice Models. - Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger:
Snapshot Ensembles: Train 1, get M for free. - Chenfanfu Jiang, Yixin Zhu, Siyuan Qi, Siyuan Huang, Jenny Lin, Xingwen Guo, Lap-Fai Yu, Demetri Terzopoulos, Song-Chun Zhu:
Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes. - Leopoldo E. Bertossi, Mostafa Milani:
Ontological Multidimensional Data Models and Contextual Data Qality. - Meysam Alizadeh, Ingmar Weber, Claudio Cioffi-Revilla, Santo Fortunato, Michael W. Macy:
Psychological and Personality Profiles of Political Extremists. - Vadim Markovtsev, Eiso Kant:
Topic modeling of public repositories at scale using names in source code. - Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. - Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. - Khuong An Nguyen, Chris Watkins, Zhiyuan Luo:
Co-location Epidemic Tracking on London Public Transports Using Low Power Mobile Magnetometer. - Jöran Beel, Siddharth Dinesh:
Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them [Long Version]. - Ozsel Kilinc, Ismail Uysal:
Clustering-based Source-aware Assessment of True Robustness for Learning Models. - Jinke Ren, Guanding Yu, Yunlong Cai, Yinghui He:
Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading. - Sagar Sen, Manoel Horta Ribeiro, Raquel Cardoso de Melo Minardi, Wagner Meira Jr., Mari Nigård:
Portinari: A Data Exploration Tool to Personalize Cervical Cancer Screening. - Manoel Horta Ribeiro, Bruno Teixeira, Antônio Otávio Fernandes, Wagner Meira Jr., Erickson R. Nascimento:
Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition. - Yupeng Yuan, Zhixiong Li, Reza Malekian, Yongzhi Chen, Ying Chen:
A Vector Matroid-Theoretic Approach in the Study of Structural Controllability Over F(z). - Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations. - Shuo Han, Lei Zou, Jeffrey Xu Yu, Dongyan Zhao:
Keyword Search on RDF Graphs - A Query Graph Assembly Approach. - M. N. Gevorkyan, Anastasiya V. Demidova, Anna V. Korolkova, Dmitry S. Kulyabov, Leonid A. Sevastianov:
The Stochastic Processes Generation in OpenModelica. - Robert A. Murphy:
A Brownian Motion Model and Extreme Belief Machine for Modeling Sensor Data Measurements. - Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing:
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. - Mohammad Ghodsi, Mohammad Taghi Hajiaghayi, Masoud Seddighin, Saeed Seddighin, Hadi Yami:
Fair Allocation of Indivisible Goods: Improvement and Generalization. - Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar:
Transfer Learning for Improving Model Predictions in Highly Configurable Software. - Mohammad Soltani, Abhyudai Singh:
Control design and analysis of a stochastic network control system. - Shuang Ma, Jing Liu, Chang Wen Chen:
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment. - (Withdrawn) Private Multi-File Retrieval From Distributed Databases.
- Jaehong Park, Jongyoon Song, Sungroh Yoon:
Building a Neural Machine Translation System Using Only Synthetic Parallel Data. - Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem:
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. - Ahmed Hussain Qureshi, Yasar Ayaz:
Potential Functions based Sampling Heuristic For Optimal Path Planning. - Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. - Marius Cordts, Timo Rehfeld, Lukas Schneider, David Pfeiffer, Markus Enzweiler, Stefan Roth, Marc Pollefeys, Uwe Franke:
The Stixel world: A medium-level representation of traffic scenes. - Piotr Skowron, Martin Lackner, Edith Elkind, Luis Sánchez Fernández:
Optimal Average Satisfaction and Extended Justified Representation in Polynomial Time. - Jose Moura, David Hutchison:
Survey of Game Theory and Future Trends with Application to Emerging Wireless Data Communication Networks. - S. Ali Mirsoleimani, Aske Plaat, H. Jaap van den Herik, Jos Vermaseren:
Structured Parallel Programming for Monte Carlo Tree Search. - Fabio Dittrich, Luiz Eduardo Soares de Oliveira, Alceu S. Britto Jr., Alessandro L. Koerich:
People Counting in Crowded and Outdoor Scenes using an Hybrid Multi-Camera Approach. - Yao Shu, Man Zhu, Kun He, John E. Hopcroft, Pan Zhou:
Understanding Deep Representations through Random Weights. - Lifeng Wang, Kai-Kit Wong, Robert W. Heath Jr., Jinhong Yuan:
Wireless Powered Dense Cellular Networks: How Many Small Cells Do We Need? - Yvain Quéau, Jean Mélou, Jean-Denis Durou, Daniel Cremers:
Dense Multi-view 3D-reconstruction Without Dense Correspondences. - Luis Sánchez Fernández, Edith Elkind, Martin Lackner:
Committees providing EJR can be computed efficiently. - U. N. Niranjan, Arun Rajkumar, Theja Tulabandhula:
Provable Inductive Robust PCA via Iterative Hard Thresholding. - Junki Matsuo, Mamoru Komachi, Katsuhito Sudoh:
Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings. - Peter M. Corcoran:
Third time is the charm - Why the World just might be ready for the Internet of Things this time around. - Ahmet Erdem Sariyüce, C. Seshadhri, Ali Pinar:
Parallel Local Algorithms for Core, Truss, and Nucleus Decompositions. - Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Hidden Two-Stream Convolutional Networks for Action Recognition. - Alex Kendall, Roberto Cipolla:
Geometric loss functions for camera pose regression with deep learning. - Felix Beierle, Akiko Aizawa, Jöran Beel:
Exploring Choice Overload in Related-Article Recommendations in Digital Libraries. - Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. - Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, Tianhao Zhao, Joel H. Saltz:
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images. - Ark Fangzhou Zhang, Danielle Livneh, Ceren Budak, Lionel P. Robert Jr., Daniel M. Romero:
Shocking the Crowd: The Effect of Censorship Shocks on Chinese Wikipedia. - Zhuoqun Yang, Zhi Jin, Zhi Li:
A Model-Based Fuzzy Control Approach to Achieving Adaptation with Contextual Uncertainties. - Zhuoqun Yang, Wei Zhang, Haiyan Zhao, Zhi Jin:
Requirements-Driven Dynamic Adaptation to Mitigate Runtime Uncertainties for Self-Adaptive Systems. - Zhuoqun Yang, Zhi Li, Zhi Jin:
A Thematic Study of Requirements Modeling and Analysis for Self-Adaptive Systems. - Zhuoqun Yang, Zhi Li, Zhi Jin, He Zhang:
Review on Requirements Modeling and Analysis for Self-Adaptive Systems: A Ten-Year Perspective. - Lin Xiong, Jayashree Karlekar, Jian Zhao, Jiashi Feng, Sugiri Pranata, Shengmei Shen:
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion. - Yinfei Yang, Ani Nenkova:
Combining Lexical and Syntactic Features for Detecting Content-dense Texts in News. - Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll:
Learning a Variational Network for Reconstruction of Accelerated MRI Data. - Laxminarayana S. Pillutla, Ramesh Annavajjala:
CRLB Calculations for Joint AoA, AoD and Multipath Gain Estimation in Millimeter Wave Wireless Networks. - Jaein Kim, Seok-Hwan Park, Osvaldo Simeone, Inkyu Lee, Shlomo Shamai:
Joint Design of Digital and Analog Processing for Downlink C-RAN with Large-Scale Antenna Arrays. - Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi, Gwénolé Quellec, Michel Cozic:
Secured Outsourced Content Based Image Retrieval Based on Encrypted Signatures Extracted From Homomorphically Encrypted Images. - Vraj Shah, Arun Kumar, Xiaojin Zhu:
Stop That Join! Discarding Dimension Tables when Learning High Capacity Classifiers. - Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional neural networks for segmentation and object detection of human semen. - Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani:
Truncating Wide Networks using Binary Tree Architectures. - Julian Romera:
Optimizing Communication by Compression for Multi-GPU Scalable Breadth-First Searches. - Dimitrios Tzionas, Abhilash Srikantha, Pablo Aponte, Juergen Gall:
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points. - Mohamad Assaad, Salah Eddine Hajri, Thomas Bonald, Anthony Ephremides:
Power Control in Massive MIMO with Dynamic User Population. - (Withdrawn) Truthfulness in Repeated Predictions.
- Héctor García de Marina, Zhiyong Sun, Ming Cao, Brian D. O. Anderson:
Controlling a triangular flexible formation of autonomous agents. - Ahmad Nauman Ghazi, Kai Petersen, Elizabeth Bjarnason, Per Runeson:
Exploratory Testing: One Size Doesn't Fit All. - Shuai Zhang, Lina Yao, Xiwei Xu:
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. - Daniel Hershcovich, Omri Abend, Ari Rappoport:
A Transition-Based Directed Acyclic Graph Parser for UCCA. - Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto:
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. - Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Neural Lattice-to-Sequence Models for Uncertain Inputs. - Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
A parametric level-set method for partially discrete tomography. - (Withdrawn) Spatiotemporal Networks for Video Emotion Recognition.
- Mohamed Maghenem, Dennis J. W. Belleter, Claudio Paliotta, Kristin Ytterstad Pettersen:
Observer Based Path Following for Underactuated Marine Vessels in the Presence of Ocean Currents: A Local Approach - With proofs. - Arash Rahnama, Meng Xia, Panos J. Antsaklis:
A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts. - Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox:
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. - Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach. - Jose Flordelis, Fredrik Rusek, Fredrik Tufvesson, Erik G. Larsson, Ove Edfors:
Massive MIMO Performance - TDD Versus FDD: What Do Measurements Say? - Arnau Prat-Pérez, Joan Guisado-Gámez, Xavier Fernández Salas, Petr Koupy, Siegfried Depner, Davide Basilio Bartolini:
Towards a property graph generator for benchmarking. - Abhishek Kashyap, Megha Agarwal, Hariom Gupta:
Detection of Copy-move Image forgery using SVD and Cuckoo Search Algorithm. - Michael Kapralov, Jelani Nelson, Jakub Pachocki, Zhengyu Wang, David P. Woodruff, Mobin Yahyazadeh:
Optimal lower bounds for universal relation, and for samplers and finding duplicates in streams. - H. Sebastian Seung, Jonathan Zung:
A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination.