Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Fast traffic sign recognition using color segmentation and deep convolutional networks
Multi-Column Deep Neural Network for Traffic Sign Classification
A hierarchical method for traffic sign classification with support vector machines
Fast shape-based road sign detection for a driver assistance system
Detection of traffic signs in real-world images: The German traffic sign detection benchmark
CTL-DNNet: Effective Circular Traffic Light Recognition with a Deep Neural Network
Detection and Recognition of Road Traffic Signs - A Survey
Color-based road detection in urban traffic scenes
A single target voting scheme for traffic sign detection
Exploiting fully convolutional neural networks for fast road detection
robust method for road sign detection and recognition .
Investigation on road-sign recognition
Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition.
Traffic light recognition in varying illumination using deep learning and saliency map
Efficient deep models for monocular road segmentation
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks
Traffic sign detection and recognition for intelligent vehicle
A Real-Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2
Automatic detection and recognition of traffic signs
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition
Traffic Sign Recognition using SURF: Speeded up robust feature descriptor and artificial neural network classifier
Design of Millimeter-Wave Bandpass Filter Using Electric Coupling of Substrate Integrated Waveguide (SIW)
Towards optimal shallow ANN for recognizing isolated handwritten Bengali numerals
shamanism and cognitive evolution .
LIBLINEAR: A library for large linear classification
13.2 A 3.7mW-RX 4.4mW-TX fully integrated Bluetooth Low-Energy/IEEE802.15.4/proprietary SoC with an ADPLL-based fast frequency offset compensation in 40nm CMOS