Papers
176,624 papers found
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
Xinran He, Theodoros Rekatsinas, James Foulds et al.
HC-Search for Structured Prediction in Computer Vision
Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic et al.
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
Zhicheng Yan, Hao Zhang, Robinson Piramuthu et al.
Heat Diffusion Over Weighted Manifolds: A New Descriptor for Textured 3D Non-Rigid Shapes
Mostafa Abdelrahman, Aly Farag, David Swanson et al.
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
Minhyung Cho, Chandra Dhir, Jaehyung Lee
Heteroscedastic Max-Min Distance Analysis
Bing Su, Xiaoqing Ding, Changsong Liu et al.
HICO: A Benchmark for Recognizing Human-Object Interactions in Images
Yu-Wei Chao, Zhan Wang, Yugeng He et al.
Hidden Markov Anomaly Detection
Nico Goernitz, Mikio Braun, Marius Kloft
Hidden Technical Debt in Machine Learning Systems
D. Sculley, Gary Holt, Daniel Golovin et al.
Hierarchical Convolutional Features for Visual Tracking
Chao Ma, Jia-Bin Huang, Xiaokang Yang et al.
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling
Trung T. Pham, Ian Reid, Yasir Latif et al.
Hierarchical Label Queries with Data-Dependent Partitions
Samory Kpotufe, Ruth Urner, Shai Ben-David
Hierarchically-Constrained Optical Flow
Ryan Kennedy, Camillo J. Taylor
Hierarchical-PEP Model for Real-World Face Recognition
Haoxiang Li, Gang Hua
Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition
Yong Du, Wei Wang, Liang Wang
Hierarchical Sparse Coding With Geometric Prior For Visual Geo-Location
Raghuraman Gopalan
Hierarchies of Relaxations for Online Prediction Problems with Evolving Constraints
Alexander Rakhlin, Karthik Sridharan
High Confidence Policy Improvement
Philip Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider, Barnabas Poczos
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang, Quanquan Gu, Yang Ning et al.
High-dimensional neural spike train analysis with generalized count linear dynamical systems
Yuanjun Gao, Lars Busing, Krishna V. Shenoy et al.
Higher-Order CRF Structural Segmentation of 3D Reconstructed Surfaces
Jingbo Liu, Jinglu Wang, Tian Fang et al.
Higher-Order Inference for Multi-Class Log-Supermodular Models
Jian Zhang, Josip Djolonga, Andreas Krause
High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild
Xiangyu Zhu, Zhen Lei, Junjie Yan et al.
High-for-Low and Low-for-High: Efficient Boundary Detection From Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani