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» Feature selection with nonparametric statistics
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ICASSP
2010
IEEE
14 years 10 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
84
Voted
EDBT
2006
ACM
127views Database» more  EDBT 2006»
15 years 9 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»
14 years 8 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...
92
Voted
ICIP
2007
IEEE
15 years 11 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
15 years 10 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