
On the Brain Networks of Complex Problem Solving
Complex problem solving is a high level cognitive process which has been...
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SelfVIO: SelfSupervised Deep Monocular VisualInertial Odometry and Depth Estimation
In the last decade, numerous supervised deep learning approaches requiri...
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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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MultiPoseNet: Fast MultiPerson Pose Estimation using Pose Residual Network
In this paper, we present MultiPoseNet, a novel bottomup multiperson p...
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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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MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
This paper is aimed at creating extremely small and fast convolutional n...
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Energy Saving Additive Neural Network
In recent years, machine learning techniques based on neural networks fo...
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What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling
Scene models allow robots to reason about what is in the scene, what els...
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Analysis of planar ornament patterns via motif asymmetry assumption and local connections
Planar ornaments, a.k.a. wallpapers, are regular repetitive patterns whi...
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Hierarchical Multiresolution Mesh Networks for Brain Decoding
We propose a new framework, called Hierarchical Multiresolution Mesh Ne...
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Encoding MultiResolution Brain Networks Using Unsupervised Deep Learning
The main goal of this study is to extract a set of brain networks in mul...
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A Product Shape Congruity Measure via Entropy in Shape Scale Space
Product shape is one of the factors that trigger preference decisions of...
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Relaxed SpatioTemporal Deep Feature Aggregation for RealFake Expression Prediction
Framelevel visual features are generally aggregated in time with the te...
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Learning Deep Temporal Representations for Brain Decoding
Functional magnetic resonance imaging produces high dimensional data, wi...
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Using Deep Networks for Drone Detection
Drone detection is the problem of finding the smallest rectangle that en...
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DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books
This paper is motivated from a young boy's capability to recognize an il...
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Treelogy: A Novel Tree Classifier Utilizing Deep and Handcrafted Representations
We propose a novel tree classification system called Treelogy, that fuse...
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A Largescale Dataset and Benchmark for Similar Trademark Retrieval
Trademark retrieval (TR) has become an important yet challenging problem...
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Temporal Clustering of Time Series via Threshold Autoregressive Models: Application to Commodity Prices
This study aimed to find temporal clusters for several commodity prices ...
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Discriminative Functional Connectivity Measures for Brain Decoding
We propose a statistical learning model for classifying cognitive proces...
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MultiWay, Multilingual Neural Machine Translation with a Shared Attention Mechanism
We propose multiway, multilingual neural machine translation. The propo...
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Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification
In this work, we propose a novel framework to encode the local connectiv...
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Bayesian Inference via Approximation of Loglikelihood for Priors in Exponential Family
In this paper, a Bayesian inference technique based on Taylor series app...
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Gaussian Mixture Reduction Using Reverse KullbackLeibler Divergence
We propose a greedy mixture reduction algorithm which is capable of prun...
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Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Automatic description generation from natural images is a challenging pr...
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Disconnected Skeleton: Shape at its Absolute Scale
We present a new skeletal representation along with a matching framework...
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From a Modified AmbrosioTortorelli to a Randomized Part Hierarchy Tree
We demonstrate the possibility of coding parts, features that are higher...
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Topologically Robust 3D Shape Matching via Gradual Deflation and Inflation
Despite being vastly ignored in the literature, coping with topological ...
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Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets
Sparsity is one of the major problems in natural language processing. Th...
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Getting Started with Neural Models for Semantic Matching in Web Search
The vocabulary mismatch problem is a longstanding problem in informatio...
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ZeroResource Translation with MultiLingual Neural Machine Translation
In this paper, we propose a novel finetuning algorithm for the recently ...
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From Word Embeddings to Item Recommendation
Social network platforms can use the data produced by their users to ser...
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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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Densityaware Dynamic Mobile Networks: Opportunities and Challenges
We experience a major paradigm change in mobile networks. The infrastruc...
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A Learning Based Approach to Incremental Context Modeling in Robots
There have been several attempts at modeling context in robots. However,...
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A Deep Incremental Boltzmann Machine for Modeling Context in Robots
Context is an essential capability for robots that are to be as adaptive...
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Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks
Sensors are present in various forms all around the world such as mobile...
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Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks
We consider a wireless broadcast network with a base station sending tim...
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Achieving the AgeEnergy Tradeoff with a FiniteBattery Energy Harvesting Source
We study the problem of minimizing the timeaverage expected Age of Info...
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Graph Based Proactive Secure Decomposition Algorithm for Context Dependent Attribute Based Inference Control Problem
Relational DBMSs continue to dominate the database market, and inference...
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Domain Adaptation on Graphs by Learning Aligned Graph Bases
We propose a method for domain adaptation on graphs. Given sufficiently ...
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Secure Wireless Powered and Cooperative Jamming D2D Communications
This paper investigates a secure wirelesspowered devicetodevice (D2D)...
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A prediction criterion for working correlation structure selection in GEE
Generalized estimating equations (GEE) is one of the most commonly used ...
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The Sphere Packing Bound For Memoryless Channels
Sphere packing bounds (SPBs) with prefactors that are polynomial in t...
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A Robust Iterative Scheme for Symmetric Indefinite Systems
We propose a twolevel nested preconditioned iterative scheme for solvin...
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Solutions of New Potential Integral Equations Using MLFMA Based on the Approximate Stable Diagonalization
We present efficient solutions of recently developed potential integral ...
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Deep Spectral Convolution Network for HyperSpectral Unmixing
In this paper, we propose a novel hyperspectral unmixing technique based...
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The Sphere Packing Bound for DSPCs with Feedback a la Augustin
The sphere packing bound is proved for codes on discrete stationary prod...
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COSMO: Contextualized Scene Modeling with Boltzmann Machines
Scene modeling is very crucial for robots that need to perceive, reason ...
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Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations
Inverse problems in imaging such as denoising, deblurring, superresoluti...
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Middle East Technical University
Middle East Technical University  Middle East Technical University  http://www.metu.edu.tr  tanitim@metu.edu.tr