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MCS
2001
Springer
15 years 10 months ago
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
Nikunj C. Oza, Kagan Tumer
AIPR
2003
IEEE
15 years 9 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
SIGMOD
2006
ACM
137views Database» more  SIGMOD 2006»
16 years 6 months ago
Optimal multi-scale patterns in time series streams
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
Spiros Papadimitriou, Philip S. Yu
EURODAC
1994
IEEE
110views VHDL» more  EURODAC 1994»
15 years 10 months ago
Symbolic exploration of large circuits with enhanced forward/backward traversals
Symbolic state space exploration techniques for Finite State Machines (FSMs) are a major recent result in CAD for VLSI. Most of them are exact and based on forward traversal, but ...
Gianpiero Cabodi, Paolo Camurati, Stefano Quer
EDUTAINMENT
2007
Springer
16 years 5 days ago
Method of Motion Data Processing Based on Manifold Learning
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
Fengxia Li, Tianyu Huang, Lijie Li