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MCS
2001
Springer
15 years 7 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 7 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
211
Voted
SIGMOD
2006
ACM
137views Database» more  SIGMOD 2006»
16 years 3 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
120
Voted
EURODAC
1994
IEEE
110views VHDL» more  EURODAC 1994»
15 years 7 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
15 years 9 months 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