
DeepDistance: A Multitask Deep Regression Model for Cell Detection in Inverted Microscopy Images
This paper presents a new deep regression model, which we call DeepDista...
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Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks
This paper presents a new regularization method to train a fully convolu...
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AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks
Dense prediction models are widely used for image segmentation. One impo...
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FineGrained Object Recognition and ZeroShot Learning in Remote Sensing Imagery
Finegrained object recognition that aims to identify the type of an obj...
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Attended Endtoend Architecture for Age Estimation from Facial Expression Videos
The main challenges of age estimation from facial expression videos lie ...
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Unsupervised and Semisupervised Anomaly Detection with LSTM Neural Networks
We investigate anomaly detection in an unsupervised framework and introd...
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Energy Saving Additive Neural Network
In recent years, machine learning techniques based on neural networks fo...
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Combinatorial Multiarmed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret
In this paper, we study the combinatorial multiarmed bandit problem (CM...
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Attributes2Classname: A discriminative model for attributebased unsupervised zeroshot learning
We propose a novel approach for unsupervised zeroshot learning (ZSL) of...
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FAME: Face Association through Model Evolution
We attack the problem of learning face models for public faces from weak...
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Abstract Representations and Frequent Pattern Discovery
We discuss the frequent pattern mining problem in a general setting. Fro...
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Predicting Nearly As Well As the Optimal Twice Differentiable Regressor
We study nonlinear regression of real valued data in an individual seque...
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Evaluation of Joint MultiInstance MultiLabel Learning For Breast Cancer Diagnosis
Multiinstance multilabel (MIML) learning is a challenging problem in m...
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A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees
In this paper, we investigate adaptive nonlinear regression and introduc...
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Mobile MultiView Object Image Search
High user interaction capability of mobile devices can help improve the ...
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Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images
In this article, two closed and convex sets for blind deconvolution prob...
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Denosing Using Wavelets and Projections onto the L1Ball
Both wavelet denoising and denosing methods using the concept of sparsit...
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Signal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC)
A new signal processing framework based on making orthogonal Projections...
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ConceptVision: A Flexible Scene Classification Framework
We introduce ConceptVision, a method that aims for high accuracy in cate...
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Online Adaptive Decision Fusion Framework Based on Entropic Projections onto Convex Sets with Application to Wildfire Detection in Video
In this paper, an Entropy functional based online Adaptive Decision Fusi...
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A Novel Partitioning Method for Accelerating the Block Cimmino Algorithm
We propose a novel blockrow partitioning method in order to improve the...
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Efficient Implementation Of NewtonRaphson Methods For Sequential Data Prediction
We investigate the problem of sequential linear data prediction for real...
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Chisio: A Compound Graph Editing and Layout Framework
We introduce a new free, opensource compound graph editing and layout f...
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Profile Matching Across Unstructured Online Social Networks: Threats and Countermeasures
In this work, we propose a profile matching (or deanonymization) attack ...
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Can WhoEditsWhat Predict Edit Survival?
The Internet has enabled the emergence of massive online collaborative p...
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An Overview of Physical Layer Security with FiniteAlphabet Signaling
Providing secure communications over the physical layer has been receivi...
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A 3D Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts
Predicting the outcomes of integrating Unmanned Aerial Systems (UAS) int...
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Sequential Outlier Detection based on Incremental Decision Trees
We introduce an online outlier detection algorithm to detect outliers in...
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Stance Detection on Tweets: An SVMbased Approach
Stance detection is a subproblem of sentiment analysis where the stance ...
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Multilingual Sentiment Analysis: An RNNBased Framework for Limited Data
Sentiment analysis is a widely studied NLP task where the goal is to det...
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Fast Characterization of Segmental Duplications in Genome Assemblies
Segmental duplications (SDs), or lowcopy repeats (LCR), are segments of...
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Fair Task Allocation in Crowdsourced Delivery
Faster and more costefficient, crowdsourced delivery is needed to meet ...
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Adaptive GameTheoretic Decision Making for Autonomous Vehicle Control at Roundabouts
In this paper, we propose a decision making algorithm for autonomous veh...
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On the optimality of likelihood ratio test for prospect theory based binary hypothesis testing
In this letter, the optimality of the likelihood ratio test (LRT) is inv...
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Deception Detection by 2Dto3D Face Reconstruction from Videos
Lies and deception are common phenomena in society, both in our private ...
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A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Annotated datasets in different domains are critical for many supervised...
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On the Number of Bins in Equilibria for Signaling Games
We investigate the equilibrium behavior for the decentralized quadratic ...
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An Activity Management Algorithm for Improving Energy Efficiency of Small Cell Base Stations in 5G Heterogeneous Networks
Heterogeneous networks (HetNets) are proposed in order to meet the incre...
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Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
Realtime flame detection is crucial in video based surveillance systems...
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Robust OneClass Kernel Spectral Regression
The kernel nullspace technique and its regressionbased formulation (ca...
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Apollo: A SequencingTechnologyIndependent, Scalable, and Accurate Assembly Polishing Algorithm
A large proportion of the basepairs in the long reads that thirdgenerat...
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Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under SubGradient Observation Failures
We study online convex optimization under stochastic subgradient observ...
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Long term impact of fair machine learning in sequential decision making: representation disparity and group retention
Machine learning models trained on data from multiple demographic groups...
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Accelerating MinMax Optimization with Application to Minimal Bounding Sphere
We study the minmax optimization problem where each function contributi...
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Exploiting Relevance for Online DecisionMaking in HighDimensions
Many sequential decisionmaking tasks require choosing at each decision ...
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Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret
We introduce an online convex optimization algorithm using projected sub...
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Collaborative Machine Learning at the Wireless Edge with Blind Transmitters
We study wireless collaborative machine learning (ML), where mobile edge...
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Thompson Sampling for Combinatorial Network Optimization in Unknown Environments
Influence maximization, item recommendation, adaptive routing and dynami...
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Optimized Sharing of Coefficients in Parallel Filter Banks
Filters are the basic and most important blocks of most signal processin...
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Lexicographic Multiarmed Bandit
We consider a multiobjective multiarmed bandit problem with lexicographi...
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Bilkent University
İhsan Doğramacı Foundation Bilkent Erzurum Laboratory High School , commonly referred to as Bilkent Erzurum or BELS,is a both private foundation and state funded school under Bilkent University, located in Palandöken, Erzurum, Turkey.