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» Feature Weighting for Segmentation
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110
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DAGSTUHL
1998
15 years 4 months ago
Segmented Iterators and Hierarchical Algorithms
Abstract. Many data structures are naturally segmented. Generic algorithms that ignore that feature, and that treat every data structure as a uniform range of elements, are unneces...
Matthew H. Austern
93
Voted
ACL
1996
15 years 4 months ago
A Prosodic Analysis of Discourse Segments in Direction-Giving Monologues
This paper reports on corpus-based research into the relationship between intonational variation and discourse structure. We examine the effects of speaking style (read versus spo...
Julia Hirschberg, Christine H. Nakatani
146
Voted
CSIE
2009
IEEE
15 years 9 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
113
Voted
EMNLP
2008
15 years 4 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
128
Voted
ICIP
2009
IEEE
16 years 3 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...