
Phase Contrast Microscopy Cell PopulationSegmentation: A Survey
Phase contrast microscopy (PCM) has been widely used in biomedicine rese...
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Vision Meets Drones: Past, Present and Future
Drones, or general UAVs, equipped with cameras have been fast deployed w...
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StimuliSensitive Hawkes Processes for Personalized Student Procrastination Modeling
Student procrastination and cramming for deadlines are major challenges ...
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OntheFly Joint Feature Selection and Classification
Joint feature selection and classification in an online setting is essen...
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Learning Semantic Neural Tree for Human Parsing
The majority of existing human parsing methods formulate the task as sem...
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Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs
Hawkes processes have been shown to be efficient in modeling bursty sequ...
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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
For node level graph encoding, a recent important stateofart method is...
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Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Recent years have seen fast development in synthesizing realistic human ...
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A Generic Framework for Interesting Subspace Cluster Detection in Multiattributed Networks
Detection of interesting (e.g., coherent or anomalous) clusters has been...
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FeatureAugmented Neural Networks for Patient Note Deidentification
Patient notes contain a wealth of information of potentially great inter...
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Deidentification of Patient Notes with Recurrent Neural Networks
Objective: Patient notes in electronic health records (EHRs) may contain...
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LSTM with Working Memory
Previous RNN architectures have largely been superseded by LSTM, or "Lon...
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Learning with Average Topk Loss
In this work, we introduce the average topk (AT_k) loss as a new ensemb...
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Technical Report: A Generalized Matching Pursuit Approach for GraphStructured Sparsity
Sparsityconstrained optimization is an important and challenging proble...
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Technical Report: GraphStructured Sparse Optimization for Connected Subgraph Detection
Structured sparse optimization is an important and challenging problem f...
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Robust Localized Multiview Subspace Clustering
In multiview clustering, different views may have different confidence ...
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A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks
Analysis of opinion dynamics in social networks plays an important role ...
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Unregularized Online Learning Algorithms with General Loss Functions
In this paper, we consider unregularized online learning algorithms in a...
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Foundations of Inference
We present a simple and clear foundation for finite inference that unite...
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Modeling a Sensor to Improve its Efficacy
Robots rely on sensors to provide them with information about their surr...
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A Unified Approach on the Local Power of Panel Unit Root Tests
In this paper, a unified approach is proposed to derive the exact local ...
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MultiScale StructureAware Network for Human Pose Estimation
We develop a robust multiscale structureaware neural network for human...
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Tagging like Humans: Diverse and Distinct Image Annotation
In this work we propose a new automatic image annotation model, dubbed ...
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Not all Embeddings are created Equal: Extracting Entityspecific Substructures for RDF Graph Embedding
Knowledge Graphs (KGs) are becoming essential to information systems tha...
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A Univariate Bound of Area Under ROC
Area under ROC (AUC) is an important metric for binary classification an...
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How Many Directions Determine a Shape and other Sufficiency Results for Two Topological Transforms
In this paper we consider two topological transforms based on Euler calc...
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A Hybrid RFVLC System for Energy Efficient Wireless Access
In this paper, we propose a new paradigm in designing and realizing ener...
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An Efficient System for Subgraph Discovery
Subgraph discovery in a single data graphfinding subsets of vertices ...
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Exact computation of the matching distance on 2parameter persistence modules
The matching distance is a pseudometric on multiparameter persistence m...
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Computing Minimal Presentations and Betti Numbers of 2Parameter Persistent Homology
Motivated by applications to topological data analysis, we give an effic...
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Computing Minimal Presentations and Bigraded Betti Numbers of 2Parameter Persistent Homology
Motivated by applications to topological data analysis, we give an effic...
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An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images
In this paper, we propose a new model to segment cells in phase contrast...
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Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
In this paper we study the stability and its tradeoff with optimization...
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Dual Averaging Method for Online Graphstructured Sparsity
Online learning algorithms update models via one sample per iteration, t...
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Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Existing hand detection methods usually follow the pipeline of multiple ...
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Stochastic Proximal AUC Maximization
In this paper we consider the problem of maximizing the Area under the R...
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Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Subjective Logic (SL) is one of wellknown belief models that can explic...
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ZipPhone: Protecting user location privacy from cellular service providers
Wireless service providers track the time and location of all user conne...
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The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
Graph convolutional networks (GCNs) are a widely used method for graph r...
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge
Social engineers attempt to manipulate users into undertaking actions su...
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MultiDrone based Single Object Tracking with Agent Sharing Network
Drone equipped with cameras can dynamically track the target in the air ...
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The Panacea Threat Intelligence and Active Defense Platform
We describe Panacea, a system that supports natural language processing ...
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NonOrthogonal Multiple Access for Hybrid VLCRF Networks with Imperfect Channel State Information
The present contribution proposes a general framework for the energy eff...
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New Insights into Learning with Correntropy Based Regression
Stemming from informationtheoretic learning, the correntropy criterion ...
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Modeling Knowledge Acquisition from Multiple Learning Resource Types
Students acquire knowledge as they interact with a variety of learning m...
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Predicting Sample Collision with Neural Networks
Many stateofart robotics applications require fast and efficient motio...
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Predictive Probability Path Planning Model For Dynamic Environments
Path planning in dynamic environments is essential to highrisk applicat...
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University at Albany
823884 The State University of New York at Albany, commonly referred to as University at Albany, SUNY Albany or UAlbany, is a public research university with campuses in the New York cities of Albany and Rensselaer and the Township of Guilderland, Unit...