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» A fast feature extraction method
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106
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ICIP
2010
IEEE
14 years 10 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...
97
Voted
CBMS
2003
IEEE
15 years 6 months ago
MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations
This paper presents the MultiWaveMed system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features a...
Agma J. M. Traina, César A. B. Castañ...
116
Voted
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
16 years 1 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
72
Voted
DATE
2002
IEEE
113views Hardware» more  DATE 2002»
15 years 5 months ago
BerkMin: A Fast and Robust Sat-Solver
We describe a SAT-solver, BerkMin, that inherits such features of GRASP, SATO, and Chaff as clause recording, fast BCP, restarts, and conflict clause “aging”. At the same time...
Evguenii I. Goldberg, Yakov Novikov
104
Voted
EMNLP
2007
15 years 2 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson