The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
A Probabilistic Room Location Service for Wireless Networked Environments
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
Reducing Calibration Effort for WLAN Location and Tracking System using Segment Technique
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops - Volume 02
Support vector machines framework for linear signal processing
Signal Processing
Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location
IEEE Transactions on Mobile Computing
Statistical learning theory for location fingerprinting in wireless LANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
Clustering-based location in wireless networks
Expert Systems with Applications: An International Journal
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems
IEEE Transactions on Mobile Computing
Nonuniform Interpolation of Noisy Signals Using Support Vector Machines
IEEE Transactions on Signal Processing
A survey of indoor positioning systems for wireless personal networks
IEEE Communications Surveys & Tutorials
Geolocation in mines with an impulse response fingerprinting technique and neural networks
IEEE Transactions on Wireless Communications
Multi-agent location system in wireless networks
Expert Systems with Applications: An International Journal
Total variation regularization for training of indoor location fingerprints
Proceedings of the 2nd ACM annual international workshop on Mission-oriented wireless sensor networking
Indoor human localization with orientation using WiFi fingerprinting
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
A unified SVM framework for signal estimation
Digital Signal Processing
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Due to the proliferation of ubiquitous computing services, locating a device in indoor scenarios has received special attention during recent years. A variety of algorithms are based on Wi-Fi measurements of the received signal strength and estimate the relation between this one and position using previous measurements at known locations. This problem naturally fits in well with learning algorithms such as neural networks, or support vector machines (SVM). However, existing machine learning techniques do not significantly outperform other simpler techniques, such as k-nn. This is mainly due to the fact that these solutions do not include significant a priori information. In this paper, we propose a technique to enhance these algorithms by including certain a priori information within the learning machine, using the spectral information of the training set, and a complex output to take advantage of the cross information in the two dimensions of the location. Specifically, we modify a SVM algorithm to obtain three advanced methods incorporating this information: one using an autocorrelation kernel, another using a complex output, and a third one combining both. These algorithms are compared to the k-nn and an SVM with Gaussian kernel, showing that including the a priori information improves the location performance.