161 citations · 483 across the 28 of their papers we have counts for
7 papers · 1 filter
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
Richard Jones, Christoph Klemenjak, Stephen Makonin +1
Non-Intrusive Load Monitoring (NILM) is a field of research focused on segregating constituent electrical loads in a system based only on their aggregated signal. Significant compu…
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Saeed Ranjbar Alvar, Ivan V. Bajić
In recent studies, collaborative intelligence (CI) has emerged as a promising framework for deployment of Artificial Intelligence (AI)-based services on mobile/edge devices. In CI,…
Affine Transformation-Based Deep Frame Prediction
Hyomin Choi, Ivan V. Bajić
We propose a neural network model to estimate the current frame from two reference frames, using affine transformation and adaptive spatially-varying filters. The estimated affine…
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks
Alon Harell, Richard Jones, Stephen Makonin +1
Non-intrusive load monitoring (NILM) allows users and energy providers to gain insight into home appliance electricity consumption using only the building's smart meter. Most curre…
Soft Video Multicasting Using Adaptive Compressed Sensing
Hadi Hadizadeh, Ivan V. bajic
Recently, soft video multicasting has gained a lot of attention, especially in broadcast and mobile scenarios where the bit rate supported by the channel may differ across receiver…
Back-and-Forth prediction for deep tensor compression
Hyomin Choi, Robert A. Cohen, Ivan V. Bajic
Recent AI applications such as Collaborative Intelligence with neural networks involve transferring deep feature tensors between various computing devices. This necessitates tensor…
Towards Automated Swimming Analytics Using Deep Neural Networks
Timothy Woinoski, Alon Harell, Ivan V. Bajic
Methods for creating a system to automate the collection of swimming analytics on a pool-wide scale are considered in this paper. There has not been much work on swimmer tracking o…