Papers
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation
Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu et al.
Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy
Motoki Sano, Kentaro Torisawa, Julien Kloetzer et al.
MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7
Alejandro Riveros, Maria De-Arteaga, Fabio González et al.
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
Daniel Hernández-lobato, Viktoriia Sharmanska, Kristian Kersting et al.
Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns
Roy Schwartz, Roi Reichart, Ari Rappoport
Minimal Scene Descriptions from Structure from Motion Models
Song Cao, Noah Snavely
Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion
Yubin Kuang, Jan E. Solem, Fredrik Kahl et al.
Minimax-optimal Inference from Partial Rankings
Bruce Hajek, Sewoong Oh, Jiaming Xu
Minimum Translation Modeling with Recurrent Neural Networks
Yuening Hu, Michael Auli, Qin Gao et al.
Min-Max Problems on Factor Graphs
Siamak Ravanbakhsh, Christopher Srinivasa, Brendan Frey et al.
Mirror Symmetry Histograms for Capturing Geometric Properties in Images
Marcelo Cicconet, Davi Geiger, Kristin C. Gunsalus et al.
Mixed Graphical Models via Exponential Families
Eunho Yang, Yulia Baker, Pradeep Ravikumar et al.
Mixing Body-Part Sequences for Human Pose Estimation
Anoop Cherian, Julien Mairal, Karteek Alahari et al.
MMAX2 for coreference annotation
Mateusz Kopeć
Mode Estimation for High Dimensional Discrete Tree Graphical Models
Chao Chen, Han Liu, Dimitris Metaxas et al.
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband, Benjamin Van Roy
Model-Based Relational RL When Object Existence is Partially Observable
Ngo Ahn Vien, Marc Toussaint
Modeling and Controlling Friendliness for An Interactive Museum Robot
Chien-Ming Huang, Takamasa Iio, Satoru Satake et al.
Modeling Biological Processes for Reading Comprehension
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen et al.
Modeling Correlated Arrival Events with Latent Semi-Markov Processes
Wenzhao Lian, Vinayak Rao, Brian Eriksson et al.
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells""
Vincent Michalski, Roland Memisevic, Kishore Konda
Modeling Factuality Judgments in Social Media Text
Sandeep Soni, Tanushree Mitra, Eric Gilbert et al.
Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs
Yun Jiang, Ashutosh Saxena
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes
George Papandreou, Liang-Chieh Chen, Alan L. Yuille
Modeling Interestingness with Deep Neural Networks
Jianfeng Gao, Patrick Pantel, Michael Gamon et al.