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» Clustering with Local and Global Regularization
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DAGSTUHL
2004
13 years 9 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
ACL
2007
13 years 9 months ago
Fast Unsupervised Incremental Parsing
This paper describes an incremental parser and an unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structur...
Yoav Seginer
PR
2010
186views more  PR 2010»
13 years 6 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
SUTC
2008
IEEE
14 years 2 months ago
Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks
With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different typ...
Vasanth Iyer, Rammurthy Garimella, M. B. Srinivas
MMM
2009
Springer
151views Multimedia» more  MMM 2009»
14 years 4 months ago
Large Scale Concept Detection in Video Using a Region Thesaurus
This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus. A video shot is represented by a single keyframe and MPEG-7 featur...
Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrith...