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ACL
2003
15 years 3 months ago
Counter-Training in Discovery of Semantic Patterns
This paper presents a method for unsupervised discovery of semantic patterns. Semantic patterns are useful for a variety of text understanding tasks, in particular for locating ev...
Roman Yangarber
APVIS
2001
15 years 3 months ago
Visualisation of Social Networks Using CAVALIER
Social Network Analysis is an approach to analysing organisations focusing on relationships as the most important aspect. In this paper we discuss visualisation techniques for Soc...
Anthony H. Dekker
CVPR
2007
IEEE
16 years 4 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
BMCBI
2006
202views more  BMCBI 2006»
15 years 2 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
OTM
2007
Springer
15 years 8 months ago
Invasive Patterns for Distributed Programs
Software patterns have evolved into a commonly used means to design and implement software systems. Programming patterns, architecture and design patterns have been quite successfu...
Luis Daniel Benavides Navarro, Mario Südholt,...