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ACL
2010
14 years 8 months ago
Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...
Peng Li, Jing Jiang, Yinglin Wang
ACCV
2009
Springer
15 years 4 months ago
From Ramp Discontinuities to Segmentation Tree
Abstract. This paper presents a new algorithm for low-level multiscale segmentation of images. The algorithm is designed to detect image regions regardless of their shapes, sizes, ...
Emre Akbas, Narendra Ahuja
ICALP
2007
Springer
15 years 4 months ago
Bounded Depth Data Trees
A data tree is a tree where each node has a label from a finite set, and a data value from a possibly infinite set. We consider data trees whose depth is bounded beforehand. By d...
Henrik Björklund, Mikolaj Bojanczyk
IFIP12
2008
14 years 11 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
PR
2008
104views more  PR 2008»
14 years 10 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal