Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: On-line Boosting and Vision
The Boosting Approach to Machine Learning An Overview
RAMOBoost: Ranked Minority Oversampling in Boosting
Artificial vision by multi-layered neural networks: Neocognitron and its advances
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods
An Efficient Boosting Algorithm for Combining Preferences
RotBoost: a technique for combining rotation forest and AdaBoost
An Accelerator for High Efficient Vision Processing
Deep Collaborative Learning for Visual Recognition
Memory Based Online Learning of Deep Representations from Video Streams
Robust visual tracking based on online learning sparse representation
Incremental Learning for Robust Visual Tracking
a boosting algorithm for regression .
Obtaining Calibrated Probabilities from Boosting
High-Order Distance-Based Multiview Stochastic Learning in Image Classification
Learning a locality preserving subspace for visual recognition
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach
Adaptive Boosting for Synthetic Aperture Radar Automatic Target Recognition
BoostFS: A Boosting-Based Irrelevant Feature Selection Algorithm
Active Learning with Multiple Views
Linear Algorithms for Online Multitask Classification
Semantic Proto-Role Labeling.
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts
QoE-Driven Rate Adaptation Heuristic for Fair Adaptive Video Streaming
Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
Fast pose estimation with parameter-sensitive hashing