Papers
Nuclear Norm Minimization via Active Subspace Selection
Cho-Jui Hsieh, Peder Olsen
Object-based Multiple Foreground Video Co-segmentation
Huazhu Fu, Dong Xu, Bao Zhang et al.
Object Classification with Adaptable Regions
Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri et al.
Object Localization based on Structural SVM using Privileged Information
Jan Feyereisl, Suha Kwak, Jeany Son et al.
Object Partitioning using Local Convexity
Simon Christoph Stein, Markus Schoeler, Jeremie Papon et al.
Observational Initialization of Type-Supervised Taggers
Hui Zhang, John DeNero
Occluding Contours for Multi-View Stereo
Qi Shan, Brian Curless, Yasutaka Furukawa et al.
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model
Golnaz Ghiasi, Charless C. Fowlkes
Occlusion Geodesics for Online Multi-Object Tracking
Horst Possegger, Thomas Mauthner, Peter M. Roth et al.
Off-policy Learning With Eligibility Traces: A Survey
Matthieu Geist, Bruno Scherrer
Omni-word Feature and Soft Constraint for Chinese Relation Extraction
Yanping Chen, Qinghua Zheng, Wei Zhang
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
Yingzhen Yang, Feng Liang, Shuicheng Yan et al.
On Communication Cost of Distributed Statistical Estimation and Dimensionality
Ankit Garg, Tengyu Ma, Huy Nguyen
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning
Matthew Hoffman, Bobak Shahriari, Nando Freitas
“One Entity per Discourse” and “One Entity per Collocation” Improve Named-Entity Disambiguation
Ander Barrena, Eneko Agirre, Bernardo Cabaleiro et al.
One Millisecond Face Alignment with an Ensemble of Regression Trees
Vahid Kazemi, Josephine Sullivan
One Practical Algorithm for Both Stochastic and Adversarial Bandits
Yevgeny Seldin, Aleksandrs Slivkins
One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter
Spandana Gella, Paul Cook, Timothy Baldwin
One-Shot-Learning Gesture Recognition using HOG-HOF Features
Jakub Konecny, Michal Hagara
On Estimating Causal Effects based on Supplemental Variables
Takahiro Hayashi, Manabu Kuroki
On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio T Ramos et al.
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek Jain, Ambuj Tewari, Purushottam Kar
On learning to localize objects with minimal supervision
Hyun Oh Song, Ross Girshick, Stefanie Jegelka et al.
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
Online Bayesian Passive-Aggressive Learning
Tianlin Shi, Jun Zhu