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» Feature selection with nonparametric statistics
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ICASSP
2010
IEEE
13 years 8 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
EDBT
2006
ACM
127views Database» more  EDBT 2006»
14 years 8 months ago
Progressive Query Optimization for Federated Queries
Federated queries are regular relational queries accessing data on one or more remote relational or non-relational data sources, possibly combining them with tables stored in the ...
Stephan Ewen, Holger Kache, Volker Markl, Vijaysha...
TVCG
2010
188views more  TVCG 2010»
13 years 6 months ago
Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames
— This paper presents topology-based methods to robustly extract, analyze, and track features defined as subsets of isosurfaces. First, we demonstrate how features identified b...
Peer-Timo Bremer, Gunther H. Weber, Valerio Pascuc...
ICIP
2007
IEEE
14 years 10 months ago
Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding
Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are exploited, partially or totally at the decoder. The side information represents a noisy ver...
Fernando Pereira, João Ascenso
ICML
2007
IEEE
14 years 9 months ago
Entire regularization paths for graph data
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda