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» Non-parametric Jensen-Shannon Divergence
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ICASSP
2007
IEEE
13 years 11 months ago
Statistical Analysis of the Global Geodesic Function for 3D Object Classification
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...
Djamila Aouada, Shuo Feng, Hamid Krim
ICIAP
1999
ACM
13 years 9 months ago
Improved Entropic Edge-Detection
Using the Jensen-Shannon divergence of grey level histograms obtained by sliding a double window over an image, an edge-detector is presented. A new technique for linking unconnec...
J. Gómez Lopera, N. Ilhami, P. Luque Escami...
EMNLP
2009
13 years 3 months ago
Automatically Evaluating Content Selection in Summarization without Human Models
We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
Annie Louis, Ani Nenkova
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
12 years 1 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 5 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...