Papers
A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics
Hervé Frezza-Buet, Matthieu Geist
Action and Event Recognition with Fisher Vectors on a Compact Feature Set
Dan Oneata, Jakob Verbeek, Cordelia Schmid
Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
Stefan Mathe, Cristian Sminchisescu
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal et al.
Action Language BC: Preliminary Report
Joohyung Lee, Vladimir Lifschitz, Fangkai Yang
Action-Model Acquisition from Noisy Plan Traces
Hankz Hankui Zhuo, Subbarao Kambhampati
Action Recognition and Localization by Hierarchical Space-Time Segments
Shugao Ma, Jianming Zhang, Nazli Ikizler-Cinbis et al.
Action Recognition by Hierarchical Sequence Summarization
Yale Song, Louis-Philippe Morency, Randall Davis
Action Recognition with Actons
Jun Zhu, Baoyuan Wang, Xiaokang Yang et al.
Action Recognition with Improved Trajectories
Heng Wang, Cordelia Schmid
Action Translation in Extensive-Form Games with Large Action Spaces: Axioms, Paradoxes, and the Pseudo-Harmonic Mapping
Sam Ganzfried, Tuomas Sandholm
ACTIVE: Activity Concept Transitions in Video Event Classification
Chen Sun, Ram Nevatia
Active and passive learning of linear separators under log-concave distributions
Maria-Florina Balcan, Phil Long
Active Bayesian Perception for Simultaneous Object Localization and Identification
Nathan Lepora, Uriel Martinez-Hernandez, Tony Prescott
Active Contours with Group Similarity
Xiaowei Zhou, Xiaojie Huang, James S. Duncan et al.
Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract)
Christoph Sawade, Steffen Bickel, Timo von Oertzen et al.
Active Learning for Cross-Domain Sentiment Classification
Shoushan Li, Yunxia Xue, Zhongqing Wang et al.
Active Learning for Interactive Visualization
Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani
Active Learning for Level Set Estimation
Alkis Gotovos, Nathalie Casati, Gregory Hitz et al.
Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause et al.
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
Nguyen Viet Cuong, Wee Sun Lee, Nan Ye et al.
Active Learning for Teaching a Robot Grounded Relational Symbols
Johannes Kulick, Marc Toussaint, Tobias Lang et al.
Active Learning from Relative Queries
Buyue Qian, Xiang Wang, Fei Wang et al.
Active Learning of an Action Detector from Untrimmed Videos
Sunil Bandla, Kristen Grauman
Active Learning via Neighborhood Reconstruction
Yao Hu, Debing Zhang, Zhongming Jin et al.