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12/21/2022
Scalable Hybrid Learning Techniques for Scientific Data Compression
Data compression is becoming critical for storing scientific data becaus...
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06/24/2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
Advanced machine learning techniques have been used in remote sensing (R...
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06/01/2021
Hybrid Generative Models for Two-Dimensional Datasets
Two-dimensional array-based datasets are pervasive in a variety of domai...
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03/25/2020
A Unified Framework for Multiclass and Multilabel Support Vector Machines
We propose a novel integrated formulation for multiclass and multilabel ...
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01/04/2019
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video
In Intelligent Transportation System, real-time systems that monitor and...
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03/07/2018
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
We develop three efficient approaches for generating visual explanations...
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02/11/2018
Global Model Interpretation via Recursive Partitioning
In this work, we propose a simple but effective method to interpret blac...
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09/29/2017
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing
Hyperspectral unmixing while considering endmember variability is usuall...
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10/27/2016
A Category Space Approach to Supervised Dimensionality Reduction
Supervised dimensionality reduction has emerged as an important theme in...
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04/01/2016
A Compositional Approach to Language Modeling
Traditional language models treat language as a finite state automaton o...
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01/28/2016
A Grassmannian Graph Approach to Affine Invariant Feature Matching
In this work, we present a novel and practical approach to address one o...
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01/21/2016
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning
A novel algorithm is developed to downscale soil moisture (SM), obtained...
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01/20/2016
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines
In this study, a machine learning algorithm is used for disaggregation o...
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01/03/2016
Contrastive Entropy: A new evaluation metric for unnormalized language models
Perplexity (per word) is the most widely used metric for evaluating lang...
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01/30/2015
Downscaling Microwave Brightness Temperatures Using Self Regularized Regressive Models
A novel algorithm is proposed to downscale microwave brightness temperat...
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01/30/2015
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models
In this study, a novel machine learning algorithm is presented for disag...
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11/13/2012
Gradient density estimation in arbitrary finite dimensions using the method of stationary phase
We prove that the density function of the gradient of a sufficiently smo...
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12/13/2011
A new variational principle for the Euclidean distance function: Linear approach to the non-linear eikonal problem
We present a fast convolution-based technique for computing an approxima...
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08/08/2011
An application of the stationary phase method for estimating probability densities of function derivatives
We prove a novel result wherein the density function of the gradients---...
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04/19/2011