64 citations · 222 across the 17 of their papers we have counts for
5 papers · 1 filter
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip
Ishan Jindal, Tony, Qin +3
In building intelligent transportation systems such as taxi or rideshare services, accurate prediction of travel time and distance is crucial for customer experience and resource m…
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
Large datasets often have unreliable labels-such as those obtained from Amazon's Mechanical Turk or social media platforms-and classifiers trained on mislabeled datasets often exhi…
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms
Ishan Jindal, Matthew Nokleby
We study the classification performance of Kronecker-structured models in two asymptotic regimes and developed an algorithm for separable, fast and compact K-S dictionary learning…
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks
Matthew Nokleby, Waheed U. Bajwa
Motivated by machine learning applications in networks of sensors, internet-of-things (IoT) devices, and autonomous agents, we propose techniques for distributed stochastic convex…
Multi-scale Spectrum Sensing in Small-Cell mm-Wave Cognitive Wireless Networks
Nicolo Michelusi, Matthew Nokleby, Urbashi Mitra +1
In this paper, a multi-scale approach to spectrum sensing in cognitive cellular networks is proposed. In order to overcome the huge cost incurred in the acquisition of full network…