24 citations · 47 across the 3 of their papers we have counts for
6 papers
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu, Siheng Chen, Hanyu Guo +3
In this paper, we introduce a generalized value iteration network (GVIN), which is an end-to-end neural network planning module. GVIN emulates the value iteration algorithm by usin…
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm
Siheng Chen, Sufeng Niu, Leman Akoglu +2
What is the best way to describe a user in a social network with just a few numbers? Mathematically, this is equivalent to assigning a vector representation to each node in a graph…
Rotation Invariant Angular Descriptor Via A Bandlimited Gaussian-like Kernel
Michael T. McCann, Matthew Fickus, Jelena Kovacevic
We present a new smooth, Gaussian-like kernel that allows the kernel density estimate for an angular distribution to be exactly represented by a finite number of its Fourier series…
Signal Recovery on Graphs: Random versus Experimentally Designed Sampling
Siheng Chen, Rohan Varma, Aarti Singh +1
We study signal recovery on graphs based on two sampling strategies: random sampling and experimentally designed sampling. We propose a new class of smooth graph signals, called ap…
Robust hyperspectral image classification with rejection fields
Filipe Condessa, Jose Bioucas-Dias, Jelena Kovacevic
In this paper we present a novel method for robust hyperspectral image classification using context and rejection. Hyperspectral image classification is generally an ill-posed imag…
SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization
Filipe Condessa, Jose Bioucas-Dias, Jelena Kovacevic
We present a supervised hyperspectral image segmentation algorithm based on a convex formulation of a marginal maximum a posteriori segmentation with hidden fields and structure te…