research
∙
08/28/2023
BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation
We address the task of supervised action segmentation which aims to part...
share
research
∙
07/11/2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency
Many real-world applications of image recognition require multi-label le...
research
∙
05/21/2021
Compositional Fine-Grained Low-Shot Learning
We develop a novel compositional generative model for zero- and few-shot...
research
∙
02/23/2020
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling
Many contemporary machine learning models require extensive tuning of hy...
research
∙
12/23/2014
Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained ℓ_1-Minimization
High-dimensional data often lie in low-dimensional subspaces correspondi...
research
∙
07/25/2014
Dissimilarity-based Sparse Subset Selection
Finding an informative subset of a large collection of data points or mo...
research
∙
01/11/2013
Robust subspace clustering
Subspace clustering refers to the task of finding a multi-subspace repre...
research
∙
03/05/2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications
In many real-world problems, we are dealing with collections of high-dim...
research
∙
01/18/2012
On the Lagrangian Biduality of Sparsity Minimization Problems
Recent results in Compressive Sensing have shown that, under certain con...
research
∙
04/04/2011