
Unsupervised Domain Adaptation for Object Detection via CrossDomain SemiSupervised Learning
Current stateoftheart object detectors can have significant performan...
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Semantic Discord: Finding Unusual Local Patterns for Time Series
Finding anomalous subsequence in a long time series is a very important ...
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Sign Language Recognition Analysis using Multimodal Data
Voicecontrolled personal and home assistants (such as the Amazon Echo a...
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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
The stateofart DNN structures involve intensive computation and high m...
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Interpretable Deep Graph Generation with NodeEdge CoDisentanglement
Disentangled representation learning has recently attracted a significan...
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Simultaneous Mapping and Target Driven Navigation
This work presents a modular architecture for simultaneous mapping and t...
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Ensemble Grammar Induction For Detecting Anomalies in Time Series
Time series anomaly detection is an important task, with applications in...
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A Robust Comparison of the KDDCup99 and NSLKDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms
In recent years, as intrusion attacks on IoT networks have grown exponen...
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ClusterBased Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction
In this paper, we propose a novel solution to reduce the computational c...
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Graph Message Passing with Crosslocation Attentions for Longterm ILI Prediction
Forecasting influenzalike illness (ILI) is of prime importance to epide...
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A Systematic Survey on Deep Generative Models for Graph Generation
Graphs are important data representations for describing objects and the...
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Factorized Deep Generative Models for Trajectory Generation with SpatiotemporalValidity Constraints
Trajectory data generation is an important domain that characterizes the...
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MultiView MultiInstance MultiLabel Learning based on Collaborative Matrix Factorization
Multiview Multiinstance Multilabel Learning(M3L) deals with complex o...
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CodeBridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
In this paper, we propose CodeBridged Classifier (CBC), a framework for...
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Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services
During the onset of a disaster event, filtering relevant information fro...
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MultiView Multiple Clusterings using Deep Matrix Factorization
Multiview clustering aims at integrating complementary information from...
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TGGAN: Deep Generative Models for Continuouslytime Temporal Graph Generation
Recently deep generative models for static networks have been under acti...
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ActiveHNE: Active Heterogeneous Network Embedding
Heterogeneous network embedding (HNE) is a challenging task due to the d...
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Deep Multiattributed Graph Translation with NodeEdge Coevolution
Generalized from image and language translation, graph translation aims ...
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Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder
Much scientific enquiry across disciplines is founded upon a mechanistic...
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DiversityBased Generalization for Neural Unsupervised Text Classification under Domain Shift
Domain adaptation approaches seek to learn from a source domain and gene...
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Hierarchical Kinematic Human Mesh Recovery
We consider the problem of estimating a parametric model of 3D human mes...
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CommonKnowledge Concept Recognition for SEVA
We build a commonknowledge concept recognition system for a Systems Eng...
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Scalable Data Augmentation for Deep Learning
Scalable Data Augmentation (SDA) provides a framework for training deep ...
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Multiple Independent Subspace Clusterings
Multiple clustering aims at discovering diverse ways of organizing data ...
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MultiView Multiple Clustering
Multiple clustering aims at exploring alternative clusterings to organiz...
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Weaklypaired CrossModal Hashing
Hashing has been widely adopted for largescale data retrieval in many d...
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Rankingbased Deep Crossmodal Hashing
Crossmodal hashing has been receiving increasing interests for its low ...
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A TwoStage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
A tacit assumption in linear regression is that (response, predictor)pa...
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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Critical incident stages identification and reasonable prediction of tra...
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Fast Single Shot Detection and Pose Estimation
For applications in navigation and robotics, estimating the 3D pose of o...
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Linear Regression with Sparsely Permuted Data
In regression analysis of multivariate data, it is tacitly assumed that ...
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Multitask Evolution with Cartesian Genetic Programming
We introduce a genetic programming method for solving multiple Boolean c...
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Online and Distributed Robust Regressions under Adversarial Data Corruption
In today's era of big data, robust leastsquares regression becomes a mo...
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On Principal Components Regression, Random Projections, and Column Subsampling
Principal Components Regression (PCR) is a traditional tool for dimensio...
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Classifying Documents within Multiple Hierarchical Datasets using MultiTask Learning
Multitask learning (MTL) is a supervised learning paradigm in which the...
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Embedding Feature Selection for Largescale Hierarchical Classification
Largescale Hierarchical Classification (HC) involves datasets consistin...
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Inconsistent Node Flattening for Improving Topdown Hierarchical Classification
Largescale classification of data where classes are structurally organi...
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Deep Learning: A Bayesian Perspective
Deep learning is a form of machine learning for nonlinear high dimension...
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Dense Piecewise Planar RGBD SLAM for Indoor Environments
The paper exploits weak Manhattan constraints to parse the structure of ...
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Filter based Taxonomy Modification for Improving Hierarchical Classification
Hierarchical Classification (HC) is a supervised learning problem where ...
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A Dataset for Developing and Benchmarking Active Vision
We present a new public dataset with a focus on simulating robotic visio...
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Synthesizing Training Data for Object Detection in Indoor Scenes
Detection of objects in cluttered indoor environments is one of the key ...
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Efficient Estimation in the Tails of Gaussian Copulas
We consider the question of efficient estimation in the tails of Gaussia...
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3D Bounding Box Estimation Using Deep Learning and Geometry
We present a method for 3D object detection and pose estimation from a s...
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Multiview RGBD Dataset for Object Instance Detection
This paper presents a new multiview RGBD dataset of nine kitchen scene...
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Semantic Image Based Geolocation Given a Map
The problem visual place recognition is commonly used strategy for local...
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Reinforcement Learning for Semantic Segmentation in Indoor Scenes
Future advancements in robot autonomy and sophistication of robotics tas...
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Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Multiscale deep CNNs have been used successfully for problems mapping e...
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Rapid building detection using machine learning
This work describes algorithms for performing discrete object detection,...
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