Papers
176,624 papers found
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa, Stéphan Clémençon, Aurélien Bellet
Shadow Optimization From Structured Deep Edge Detection
Li Shen, Teck Wee Chua, Karianto Leman
Shape and Light Directions From Shading and Polarization
Trung Ngo Thanh, Hajime Nagahara, Rin-ichiro Taniguchi
Shape-Based Automatic Detection of a Large Number of 3D Facial Landmarks
Syed Zulqarnain Gilani, Faisal Shafait, Ajmal Mian
Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition
Shaoxin Li, Junliang Xing, Zhiheng Niu et al.
Shape-From-Template in Flatland
Mathias Gallardo, Daniel Pizarro, Adrien Bartoli et al.
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering With Corrupted and Incomplete Data
Pan Ji, Mathieu Salzmann, Hongdong Li
Shape-Tailored Local Descriptors and Their Application to Segmentation and Tracking
Naeemullah Khan, Marei Algarni, Anthony Yezzi et al.
Shared Autonomy via Hindsight Optimization
Shervin Javdani, Siddhartha Srinivasa, Andrew Bagnell
Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation
Pierre C. Bellec, Alexandre B. Tsybakov
Shell PCA: Statistical Shape Modelling in Shell Space
Chao Zhang, Behrend Heeren, Martin Rumpf et al.
Shepard Convolutional Neural Networks
Jimmy SJ Ren, Li Xu, Qiong Yan et al.
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals, Alexander Toshev, Samy Bengio et al.
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros et al.
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
Adepu Ravi Sankar, Vineeth N Balasubramanian
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis
Guoli Song, Shuhui Wang, Qingming Huang et al.
Similarity Learning for High-Dimensional Sparse Data
Kuan Liu, Aurélien Bellet, Fei Sha
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification
Dapeng Chen, Zejian Yuan, Gang Hua et al.
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora, Rong Ge, Tengyu Ma et al.
Simple regret for infinitely many armed bandits
Alexandra Carpentier, Michal Valko
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning
Ragav Venkatesan, Parag Chandakkar, Baoxin Li
Simplified Mirror-Based Camera Pose Computation via Rotation Averaging
Gucan Long, Laurent Kneip, Xin Li et al.
Simulating Makeup Through Physics-Based Manipulation of Intrinsic Image Layers
Chen Li, Kun Zhou, Stephen Lin
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell et al.