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» The Characterization of Data-Accumulating Algorithms
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164
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FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 9 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
109
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Extraction of Components with Structured Variance
Abstract— We present a method for exploratory data analysis of large spatiotemporal data sets such as global longtime climate measurements, extending our previous work on semibli...
Alexander Ilin, Harri Valpola, Erkki Oja
149
Voted
IPPS
2006
IEEE
15 years 9 months ago
Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques ...
Antonio J. Plaza
148
Voted
CONEXT
2006
ACM
15 years 9 months ago
Using forgetful routing to control BGP table size
Running the Border Gateway Protocol (BGP), the Internet’s interdomain routing protocol, consumes a large amount of memory. A BGP-speaking router typically stores one or more rou...
Elliott Karpilovsky, Jennifer Rexford
99
Voted
CBMS
2005
IEEE
15 years 9 months ago
Grid Computing in 3D-EM Image Processing Using Xmipp
Image processing in three-dimensional electron microscopy (3D-EM) is characterized by large amounts of data, and voluminous computing requirements. Here, we report our first exper...
Sjors H. W. Scheres, A. J. Merino, Carlos Oscar S&...