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» Extracting general-purpose features from LIDAR data
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ICIAP
2009
ACM
16 years 13 days ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
ICASSP
2011
IEEE
14 years 3 months ago
Hilbert envelope based features for robust speaker identification under reverberant mismatched conditions
It is well known that MFCC based speaker identification (SID) systems easily break down under mismatched training and test conditions. One such mismatch occurs when a SID system ...
Seyed Omid Sadjadi, John H. L. Hansen
101
Voted
SIGMOD
2002
ACM
188views Database» more  SIGMOD 2002»
16 years 13 hour ago
COMMIX: towards effective web information extraction, integration and query answering
As WWW becomes more and more popular and powerful, how to search information on the web in database way becomes an important research topic. COMMIX, which is developed in the DB g...
Tengjiao Wang, Shiwei Tang, Dongqing Yang, Jun Gao...
NIPS
2007
15 years 1 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
ICCS
2005
Springer
15 years 5 months ago
Data-Parallel Method for Georeferencing of MODIS Level 1B Data Using Grid Computing
Georeference is a basic function of remote sensing data processing. Geo-corrected remote sensing data is an important source data for Geographic Information Systems (GIS) and other...
Yincui Hu, Yong Xue, Jiakui Tang, Shaobo Zhong, Gu...