- Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei:
Label Efficient Learning of Transferable Representations across Domains and Tasks. CoRR abs/1712.00123 (2017) - Tammo Rukat
, Dustin Lange, Cédric Archambeau:
An interpretable latent variable model for attribute applicability in the Amazon catalogue. CoRR abs/1712.00126 (2017) - Andrea Rocchetto, Scott Aaronson, Simone Severini, Gonzalo Carvacho, Davide Poderini, Iris Agresti, Marco Bentivegna, Fabio Sciarrino:
Experimental learning of quantum states. CoRR abs/1712.00127 (2017) - Yajiao Dong, Jianguo Li:
Video retrieval based on deep convolutional neural network. CoRR abs/1712.00133 (2017) - Jennifer M. Rieser, Perrin E. Schiebel, Arman Pazouki, Feifei Qian, Zachary Goddard, Andrew Zangwill, Dan Negrut, Daniel I. Goldman:
Collision-induced scattering of a self-propelled slithering robot. CoRR abs/1712.00136 (2017) - Himel Dev, Chase Geigle, Qingtao Hu, Jiahui Zheng, Hari Sundaram:
Size Does Matter: Why Knowledge Markets Can Fail at Scale! CoRR abs/1712.00139 (2017) - Zhu Wang, Bin Guo, Zhiwen Yu, Xingshe Zhou:
Wi-Fi CSI based Behavior Recognition: From Signals, Actions to Activities. CoRR abs/1712.00146 (2017) - Lei Wang, Xincheng Wang:
The Influences of Edge Asymmetry on Network Robustness. CoRR abs/1712.00156 (2017) - Hye Won Chung, Ji Oon Lee, Alfred O. Hero III:
Fundamental Limits on Data Acquisition: Trade-offs between Sample Complexity and Query Difficulty. CoRR abs/1712.00157 (2017) - Yeong-Jun Cho, Kuk-Jin Yoon:
Distance-based Camera Network Topology Inference for Person Re-identification. CoRR abs/1712.00158 (2017) - Yiding Yu, Taotao Wang, Soung Chang Liew:
Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks. CoRR abs/1712.00162 (2017) - Alexandre Yahi, Rami Vanguri, Noémie Elhadad, Nicholas P. Tatonetti:
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. CoRR abs/1712.00164 (2017) - Zhuo Li, Lijuan Xing, Ba-Zhong Shen:
Capacity-Achievability of Polar Codes and Precoded Polar Codes under List Decoding: They are Good both Practically and Theoretically. CoRR abs/1712.00165 (2017) - Sungkyun Chang, Juheon Lee, Sang Keun Choe, Kyogu Lee:
Audio Cover Song Identification using Convolutional Neural Network. CoRR abs/1712.00166 (2017) - Heng Wang, Zengchang Qin, Tao Wan:
Text Generation Based on Generative Adversarial Nets with Latent Variable. CoRR abs/1712.00170 (2017) - Wenbo Zhao, Yang Gao, Rita Singh:
Speaker identification from the sound of the human breath. CoRR abs/1712.00171 (2017) - Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, Simon Lucey:
Learning Depth from Monocular Videos using Direct Methods. CoRR abs/1712.00175 (2017) - Jason Bernard, Ian McQuillan:
New Techniques for Inferring L-Systems Using Genetic Algorithm. CoRR abs/1712.00180 (2017) - Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard:
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression. CoRR abs/1712.00181 (2017) - Chang-Ryeol Lee, Kuk-Jin Yoon:
Inertial-aided Rolling Shutter Relative Pose Estimation. CoRR abs/1712.00184 (2017) - Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo, Yuseok Bae, Joong-won Hwang:
Rank of Experts: Detection Network Ensemble. CoRR abs/1712.00185 (2017) - Ayesha Muqaddas, Muaz A. Niazi:
Modeling the Multiple Sclerosis Brain Disease Using Agents: What Works and What Doesn't? CoRR abs/1712.00190 (2017) - Alican Bozkurt, Kivanç Köse, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. CoRR abs/1712.00192 (2017) - Hee Jung Ryu, Margaret Mitchell, Hartwig Adam:
Improving Smiling Detection with Race and Gender Diversity. CoRR abs/1712.00193 (2017) - N. Hussain, Hamimah Ujir, Irwandi Hipiny, Jacey-Lynn Minoi:
3D Facial Action Units Recognition for Emotional Expression. CoRR abs/1712.00195 (2017) - Richard C. Brewster, Jae-Baek Lee, Benjamin R. Moore, Jonathan A. Noel, Mark H. Siggers:
Graph Homomorphism Reconfiguration and Frozen H-Colourings. CoRR abs/1712.00200 (2017) - Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. CoRR abs/1712.00201 (2017) - Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller:
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR abs/1712.00202 (2017) - Mehrdad G. Shirangi:
Closed-loop field development optimization with multipoint geostatistics and statistical assessment. CoRR abs/1712.00203 (2017) - Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu:
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors. CoRR abs/1712.00205 (2017)