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COLING
2010
14 years 5 months ago
Kernel-based Reranking for Named-Entity Extraction
We present novel kernels based on structured and unstructured features for reranking the N-best hypotheses of conditional random fields (CRFs) applied to entity extraction. The fo...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 10 months ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
90
Voted
GLOBECOM
2009
IEEE
15 years 4 months ago
Multi-Functional Compression with Side Information
Abstract—In this paper, we consider the problem of multifunctional compression with side information. The problem is how we can compress a source X so that the receiver is able t...
Soheil Feizi-Khankandi, Muriel Médard
TIT
1998
102views more  TIT 1998»
14 years 9 months ago
On Characterization of Entropy Function via Information Inequalities
—Given n discrete random variables = fX1;111; Xng, associated with any subset of f1; 2; 111; ng, there is a joint entropy H(X ) where X = fXi:i 2 g. This can be viewed as a f...
Zhen Zhang, Raymond W. Yeung
ICCV
2003
IEEE
16 years 8 hour ago
A Multi-scale Generative Model for Animate Shapes and Parts
This paper presents a multi-scale generative model for representing animate shapes and extracting meaningful parts of objects. The model assumes that animate shapes (2D simple clo...
Aleksandr Dubinskiy, Song Chun Zhu