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KDD
2000
ACM
168views Data Mining» more  KDD 2000»
15 years 9 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
GLOBECOM
2006
IEEE
16 years 5 days ago
Online Calibration of Path Loss Exponent in Wireless Sensor Networks
— The path loss exponent (PLE) is a parameter indicating the rate at which the received signal strength (RSS) decreases with distance, and its value depends on the specific prop...
Guoqiang Mao, Brian D. O. Anderson, Baris Fidan
ECCV
2010
Springer
15 years 6 months ago
Boosting Chamfer Matching by Learning Chamfer Distance Normalization
We propose a novel technique that significantly improves the performance of oriented chamfer matching on images with cluttered background. Different to other matching methods, whic...
Tianyang Ma, Xingwei Yang, Longin Jan Latecki
TIFS
2010
135views more  TIFS 2010»
15 years 25 days ago
Distance Metric Learning for Content Identification
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
Dalwon Jang, Chang Dong Yoo, Ton Kalker
ALT
2005
Springer
16 years 3 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg