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08/01/2023
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images
We propose an accurate and fast classification network for classificatio...
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11/21/2022
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques
Mixed reality (MR) is a key technology which promises to change the futu...
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12/17/2021
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
There is tremendous scope for improving the energy efficiency of embedde...
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11/24/2019
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
Exploiting known semantic relationships between fine-grained tasks is cr...
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04/20/2019
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks
A novel distributed algorithm for estimating the maximum of the node ini...
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04/08/2019
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets
Modern audio source separation techniques rely on optimizing sequence mo...
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11/02/2018
Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading
In this paper, localization using narrowband communication signals are c...
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11/01/2018
Designing an Effective Metric Learning Pipeline for Speaker Diarization
State-of-the-art speaker diarization systems utilize knowledge from exte...
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11/01/2018
Improving Robustness of Attention Models on Graphs
Machine learning models that can exploit the inherent structure in data ...
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10/02/2018
Attention Models with Random Features for Multi-layered Graph Embeddings
Modern data analysis pipelines are becoming increasingly complex due to ...
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08/04/2018
Triplet Network with Attention for Speaker Diarization
In automatic speech processing systems, speaker diarization is a crucial...
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05/01/2018
Consensus-based Distributed Quantile Estimation in Sensor Networks
A quantile is defined as a value below which random draws from a given d...
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11/15/2017
Optimizing Kernel Machines using Deep Learning
Building highly non-linear and non-parametric models is central to sever...
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11/10/2017
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
With widespread adoption of electronic health records, there is an incre...
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02/21/2017
Direct estimation of density functionals using a polynomial basis
A number of fundamental quantities in statistical signal processing and ...
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12/28/2016
A Deep Learning Approach To Multiple Kernel Fusion
Kernel fusion is a popular and effective approach for combining multiple...
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12/19/2014
Empirically Estimable Classification Bounds Based on a New Divergence Measure
Information divergence functions play a critical role in statistics and ...
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03/12/2013
Recovering Non-negative and Combined Sparse Representations
The non-negative solution to an underdetermined linear system can be uni...
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03/03/2013
