Papers
A Supervised Low-Rank Method for Learning Invariant Subspaces
Farzad Siyahjani, Ranya Almohsen, Sinan Sabri et al.
Semi-Supervised Zero-Shot Classification With Label Representation Learning
Xin Li, Yuhong Guo, Dale Schuurmans
Infinite Feature Selection
Giorgio Roffo, Simone Melzi, Marco Cristani
Multi-View Domain Generalization for Visual Recognition
Li Niu, Wen Li, Dong Xu
An NMF Perspective on Binary Hashing
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu et al.
Bayesian Model Adaptation for Crowd Counts
Bo Liu, Nuno Vasconcelos
Zero-Shot Learning via Semantic Similarity Embedding
Ziming Zhang, Venkatesh Saligrama
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph
Baoyuan Wu, Siwei Lyu, Bernard Ghanem
Learning Binary Codes for Maximum Inner Product Search
Fumin Shen, Wei Liu, Shaoting Zhang et al.
Geometry-Aware Deep Transform
Jiaji Huang, Qiang Qiu, Robert Calderbank et al.
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
Je Hyeong Hong, Andrew Fitzgibbon
Unsupervised Domain Adaptation With Imbalanced Cross-Domain Data
Tzu Ming Harry Hsu, Wei Yu Chen, Cheng-An Hou et al.
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities
Antonio L. Rodriguez, Vitor Sequeira
Multi-Label Cross-Modal Retrieval
Viresh Ranjan, Nikhil Rasiwasia, C. V. Jawahar
Unsupervised Learning of Spatiotemporally Coherent Metrics
Ross Goroshin, Joan Bruna, Jonathan Tompson et al.
Low Dimensional Explicit Feature Maps
Ondrej Chum
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell et al.
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables
Hossein Hajimirsadeghi, Greg Mori
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis
Guoli Song, Shuhui Wang, Qingming Huang et al.
Differential Recurrent Neural Networks for Action Recognition
Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi
Multi-Image Matching via Fast Alternating Minimization
Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis
Dense Semantic Correspondence Where Every Pixel is a Classifier
Hilton Bristow, Jack Valmadre, Simon Lucey
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
Christian Bailer, Bertram Taetz, Didier Stricker
SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs
Yu Li, Dongbo Min, Michael S. Brown et al.