63 citations · 101 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 10 cited
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
Chaitanya Kaul, Nick Pears, Suresh Manandhar
Deep neural networks have established themselves as the state-of-the-art methodology in almost all computer vision tasks to date. But their application to processing data lying on…
cs.AI2009★ 28 cited
Scenario-based Stochastic Constraint Programming
Suresh Manandhar, Armagan Tarim, Toby Walsh
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number o…
cs.AI2009★ 63 cited
Stochastic Constraint Programming: A Scenario-Based Approach
S. Armagan Tarim, Suresh Manandhar, Toby Walsh
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs contai…