
NoTrick (Treat) Kernel Adaptive Filtering using Deterministic Features
Kernel methods form a powerful, versatile, and theoreticallygrounded un...
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Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces
Kernel methods form a theoreticallygrounded, powerful and versatile fra...
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MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description
Learning visual feature representations for video analysis is a daunting...
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An Exact Reformulation of FeatureVectorbased RadialBasisFunction Networks for Graphbased Observations
Radialbasisfunction networks are traditionally defined for sets of vec...
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Comparison of Handheld WEMI Target Detection Algorithms
Wideband Electromagnetic Induction Sensors (WEMI) have been used for a ...
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Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
Explainable machine learning and artificial intelligence models have bee...
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Overcoming Small Minirhizotron Datasets Using Transfer Learning
Minirhizotron technology is widely used for studying the development of ...
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Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator
Sensors which use electromagnetic induction (EMI) to excite a response i...
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Histogram Layers for Texture Analysis
We present a histogram layer for artificial neural networks (ANNs). An e...
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Intelligent Intersection: TwoStream Convolutional Networks for Realtime Near Accident Detection in Traffic Video
In Intelligent Transportation System, realtime systems that monitor and...
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A Convolutional Forward and BackProjection Model for FanBeam Geometry
Iterative methods for tomographic image reconstruction have great potent...
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TuningFree Disentanglement via Projection
In representation learning and nonlinear dimension reduction, there is ...
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A Unified Framework for Multiclass and Multilabel Support Vector Machines
We propose a novel integrated formulation for multiclass and multilabel ...
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Detectability of Symbol Manipulation by an AmplifyandForward Relay
This paper studies the problem of detecting a potential malicious relay ...
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A coding approach to guarantee information integrity against a Byzantine relay
This paper presents a random coding scheme with which two nodes can exch...
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Equating the achievable exponent region to the achievable entropy region by partitioning the source
In this paper we investigate the image size characterization problem. We...
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Equalimagesize source partitioning: Creating strong Fano's inequalities for multiterminal discrete memoryless channels
This paper introduces equalimagesize source partitioning, a new tool f...
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Keyless authentication in the presence of a simultaneously transmitting adversary
If Alice must communicate with Bob over a channel shared with the advers...
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Wiretap channel capacity: Secrecy criteria, strong converse, and phase change
This paper employs equalimagesize source partitioning techniques to de...
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Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning
Facial pain expression is an important modality for assessing pain, espe...
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Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Subpixel Target Detection
The Multiple Instance Hybrid Estimator for discriminative target charact...
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Quantized Minimum Error Entropy Criterion
Comparing with traditional learning criteria, such as mean square error ...
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A Gaussian mixture model representation of endmember variability in hyperspectral unmixing
Hyperspectral unmixing while considering endmember variability is usuall...
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Possibilistic Fuzzy Local Information CMeans for Sonar Image Segmentation
Sidelook synthetic aperture sonar (SAS) can produce very high quality i...
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Tensor Product Generation Networks
We present a new tensor product generation network (TPGN) that generates...
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Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
In a streaming environment, there is often a need for statistical predic...
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Identifying the Absorption Bump with Deep Learning
The pervasive interstellar dust grains provide significant insights to u...
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Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
The fast growing deep learning technologies have become the main solutio...
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Largescale Artificial Neural Network: MapReducebased Deep Learning
Faced with continuously increasing scale of data, original backpropagat...
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Multiple Instance Dictionary Learning for BeattoBeat Heart Rate Monitoring from Ballistocardiograms
A multiple instance dictionary learning approach, Dictionary Learning us...
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Sensitivity Analysis for additive STDP rule
Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic lear...
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Learning PixelDistribution Prior with Wider Convolution for Image Denoising
In this work, we explore an innovative strategy for image denoising by u...
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Wide Inference Network for Image Denoising via Learning Pixeldistribution Prior
We explore an innovative strategy for image denoising by using convoluti...
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DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning
Transcriptional profiling on microarrays to obtain gene expressions has ...
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MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
The inability to interpret the model prediction in semantically and visu...
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Robustness of Maximum Correntropy Estimation Against Large Outliers
The maximum correntropy criterion (MCC) has recently been successfully a...
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Quaternion Based Camera Pose Estimation From Matched Feature Points
We present a novel solution to the camera pose estimation problem, where...
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Adversarial Examples: Attacks and Defenses for Deep Learning
With rapid progress and great successes in a wide spectrum of applicatio...
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Kernel RiskSensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
Nonlinear similarity measures defined in kernel space, such as correntro...
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Microscopic Muscle Image Enhancement
We propose a robust image enhancement algorithm dedicated for muscle fib...
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Exploiting SpatioTemporal Structure with Recurrent WinnerTakeAll Networks
We propose a convolutional recurrent neural network, with WinnerTakeAl...
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Generalized Uniformly Optimal Methods for Nonlinear Programming
In this paper, we present a generic framework to extend existing uniform...
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An optimal randomized incremental gradient method
In this paper, we consider a class of finitesum convex optimization pro...
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Multiple Instance Hyperspectral Target Characterization
In this paper, two methods for multiple instance target characterization...
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An efficient ExactPGA algorithm for constant curvature manifolds
Manifoldvalued datasets are widely encountered in many computer vision ...
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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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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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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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Kernel Least Mean Square with Adaptive Kernel Size
Kernel adaptive filters (KAF) are a class of powerful nonlinear filters ...
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Stochastic First and Zerothorder Methods for Nonconvex Stochastic Programming
In this paper, we introduce a new stochastic approximation (SA) type alg...
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University of Florida
The University of Florida is a public landgrant, seagrant, and spacegrant research university in Gainesville, Florida.