Stochastic Backpropagation through Mixture Density Distributions. UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones. Recurrent Memory Addressing for describing videos. Multidimensional Binary Search for Contextual Decision-Making. A Recursive Born Approach to Nonlinear Inverse Scattering. Machine Lea …

Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs. Poisson multi-Bernoulli conjugate prior for multiple extended object filtering. Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge. Visual-Inertial Monocular SLAM with Map Reuse. Learning HMMs with Nonpar …

Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters. TeKnowbase: Towards Construction of a Knowledge-base of Technical Concepts. This before That: Causal Precedence in the Biomedical Domain. ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras. Multi-Scale Convolutional Neural Networks for Time Se …

Learning text representation using recurrent convolutional neural network with highway layers. Identifying individual facial expressions by deconstructing a neural network. Model-based Outdoor Performance Capture. Large Collection of Diverse Gene Set Search Queries Recapitulate Known Protein-Protein Interactions and Gene-Gene Functional Association …

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables. Notes on a model for fuzzy computing. Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment. Who did What: A Lar …

A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation. Crowdsourcing in Computer Vision. Autonomous Ingress of a UAV through a window using Monocular Vision. The belief noisy-or model applied to network reliability analysis. Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D D …

Semi-supervised Zero-Shot Learning by a Clustering-based Approach. Generative Image Modeling using Style and Structure Adversarial Networks. Variational Lossy Autoencoder. Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. Temporally Robust Global Motion Compensation by Keypoint-based Congealing. Extr …

Learning Spatially Regularized Correlation Filters for Visual Tracking. Track Facial Points in Unconstrained Videos. Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing. Tensor Methods and Recommender Systems. Recurrent 3D Attentional Networks for End-to-End Active Object Recognition. …

Kernelized Covariance for Action Recognition. Comment on “Why does deep and cheap learning work so well?” [arXiv:1608.08225]. Dynamic change-point detection using similarity networks. HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images. gLOP: the global and Local Penalty for Capturing Predictive Heterogen …

Hierarchical Manifold Clustering on Diffusion Maps for Connectomics (MIT 18.S096 final project). Learning to Track at 100 FPS with Deep Regression Networks. Improving the Performance of Neural Machine Translation Involving Morphologically Rich Languages. Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networ …

Developing an ICU scoring system with interaction terms using a genetic algorithm. Susceptibility of texture measures to noise: an application to lung tumor CT images. Argumentation Models for Cyber Attribution. Multiple Instance Hyperspectral Target Characterization. American Sign Language fingerspelling recognition from video: Methods for unrestr …

Robust Automated Human Activity Recognition and its Application to Sleep Research. Loss is its own Reward: Self-Supervision for Reinforcement Learning. Corporate Disruption in the Science of Machine Learning. Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies. Review of Fall Detection Techniques: A Data Availability Perspectiv …

End-to-End Training of Hybrid CNN-CRF Models for Stereo. Modular Multitask Reinforcement Learning with Policy Sketches. Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities. Finding Significant Fourier Coefficients: Clarifications, Simplifications, Applications and Limitations. Gen …

Modelling Creativity: Identifying Key Components through a Corpus-Based Approach. Computational Drug Repositioning Using Continuous Self-controlled Case Series. Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization. Why is Differential Evolution Better than Grid Search for Tuning Def …