62 citations · 170 across the 44 of their papers we have counts for
7 papers · 1 filter
Evolutionary Self-Expressive Models for Subspace Clustering
Abolfazl Hashemi, Haris Vikalo
The problem of organizing data that evolves over time into clusters is encountered in a number of practical settings. We introduce evolutionary subspace clustering, a method whose…
Blind nucleosynthetic source discovery in astronomical elemental abundance data
Milos Milosavljevic, Patrick D. Aleo, Natalie R. Hinkel +1
We demonstrate physics-blind and purely data-based nucleosynthetic archetype discovery from heterogeneous stellar elemental abundance measurements. Archetype extraction is performe…
Randomized Greedy Sensor Selection: Leveraging Weak Submodularity
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo +1
We study the problem of estimating a random process from the observations collected by a network of sensors that operate under resource constraints. When the dynamics of the proces…
Near-Optimal Distributed Estimation for a Network of Sensing Units Operating Under Communication Constraints
Abolfazl Hashemi, Osman Fatih Kilic, Haris Vikalo
We study the problem of distributed state estimation in a network of sensing units that can exchange their measurements but the rate of communication between the units is constrain…
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo +1
We study the problem of sampling and reconstruction of bandlimited graph signals where the objective is to select a node subset of prescribed cardinality that ensures interpolation…
Towards Accelerated Greedy Sampling and Reconstruction of Bandlimited Graph Signals
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo +1
We study the problem of sampling and reconstructing spectrally sparse graph signals where the objective is to select a subset of nodes of prespecified cardinality that ensures inte…