Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation
Random forests versus Neural Networks — What's best for camera localization?
Learning Less is More - 6D Camera Localization via 3D Surface Regression
Semi-Supervised On-line Boosting for Robust Tracking
Adaptive rendering based on weighted local regression
Robust regression methods for computer vision: A review
On-line Random Forests
Adaptive Linear Regression for Appearance-Based Gaze Estimation
Re3 : Real-Time Recurrent Regression Networks for Object Tracking
CudaRF: A CUDA-based implementation of Random Forests
Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding
Recurrent Autoregressive Networks for Online Multi-object Tracking
One millisecond face alignment with an ensemble of regression trees
Supervised Learning of Places from Range Data using AdaBoost
Local Image Registration by Adaptive Filtering
Coreset-Based Adaptive Tracking
Adaptive Online Learning
DSAC — Differentiable RANSAC for Camera Localization
Learning Spatial-Aware Regressions for Visual Tracking
Random Projection Forests
Maximizing Expected Model Change for Active Learning in Regression
Adaptive hierarchical RBF interpolation for creating smooth digital elevation models
Handling pure camera rotation in keyframe-based SLAM
The Effects of News Sentiment and Coverage on Credit Rating Analysis
Ubiquitous knowledge construction: mobile learning re‐defined and a conceptual framework
Bobtail: Avoiding Long Tails in the Cloud