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1. Interference-Aware Resource Management in Multihop Wireless Networks

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4. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling

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5. Polynomial Optimization Based Approaches to System Design, Analysis and Identification

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6. Information Theoretic Secrecy for Some Multiuser Wireless Communication Channels

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7. Towards Large-Scale Testing of Policy-Based Routing via Path Algebraic and Scaled-Down Topological Modeling

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10. Statistical Models for Data Mining: General Inferences and Class Discovery in Large Databases

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11. A Study on the Feasibility of Low Probability of Intercept Sonar

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12. Adaptive Resource Allocation for D-TDD Systems in Wireless Multimedia Networks

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13. Packet Inspection for Application Classification and Intrusion Detection

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14. Robust Methods for Human Airway-Tree Segmentation and Anatomical-Tree Matching

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15. A NEURAL NETWORK BASED APPROACH FOR PREDICTING A PATIENT'S CONVERSION TO ALZHEIMER'S DISEASE BASED ON BRAIN SCAN DATA

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16. Iterative Hillclimbing Optimization Techniques for Transform Image Encoding/Decoding and for Image Segmentation

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17. A Computational Approach For Understanding The Aesthetics Of Gray Scale Images

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18. Mixture Model Learning with Instance-level Constraints

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19. Purposeful mobility and capacity issues in sensor network

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20. Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures

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22. MAXIMUM ENTROPY AND IMPROVED ITERATIVE SCALING FOR CLASSIFICATION ON MIXED SPACES, ENSEMBLE CLASSIFICATION AND EXTENSIONS.

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23. MAP SOURCE-CONTROLLED CHANNEL DECODING FOR IMAGE TRANSMISSION SYSTEM USING CPFSK AND RING CONVOLUTIONAL CODES

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24. A NOVEL APPROACH TO ACTIVE VISION SYSTEMS: MODELLING, CONTROL AND REAL TIME TRACKING

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25. Vector Symbol Decoding with Lists of Alternative Vector Symbol Choices and Outer Convolutional Codes

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26. Cooperation and Information Theoretic Security in Wireless Networks

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27. Probabilistic Robust Control System Design by Stochastic Optimization

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29. FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING

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30. High Order Joint Source Channel Decoding and Conditional Entropy Encoding: Novel Bridging Techniques between Performance and Complexity

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31. Maximum Entropy Modeling for Distributed Classification, Regression, and Interaction Discovery

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32. Information Theoretic Limits of Multi-user Channels with State

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34. Novel Task Decomposition And Aggregation methods For Knowledge Discovery In Multi-agent systems

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35. Network Traffic Analysis: Anomaly Detection and Some Implications of Neutrality

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38. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints

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41. Active Contour Motion Planning in the Inverse Perspective Mapping Frame

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42. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories

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43. Information Transmission in Networks with Social and Semantic Constraints

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44. Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection

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45. Prediction and Estimation of Human Motion using Generative-Adversarial Network

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46. Information Theoretic Security Guarantees against More Capable Adversaries

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47. User Protection in Social Networks using Machine Learning Techniques

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48. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification

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50. ABSTRACTIVE TEXT SUMMARIZATION BY HIGHLIGHTING

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51. Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing.

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52. Harnessing Data Correlation and Network Information in Distributed Key-Value Stores

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53. Economic Models for Access Networks Informing Regulatory Policy

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54. COMMUNICATION-EFFICIENT AND FAULT-TOLERANT ALGORITHMS FOR DISTRIBUTED MACHINE LEARNING

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55. Privacy-preserving assessment of depression using Speech signal processing

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