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105
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UAI
2004
15 years 2 months ago
Exponential Families for Conditional Random Fields
In this paper we define conditional random fields in reproducing kernel Hilbert spaces and show connections to Gaussian Process classification. More specifically, we prove decompo...
Yasemin Altun, Alexander J. Smola, Thomas Hofmann
ICIAP
2009
ACM
16 years 1 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
107
Voted
ADBIS
2006
Springer
181views Database» more  ADBIS 2006»
15 years 6 months ago
Searching for Similar Trajectories on Road Networks Using Spatio-temporal Similarity
In order to search similar moving object trajectories, the previously used methods focused on Euclidean distance and considered only spatial similarity. Euclidean distance is not a...
Jung-Rae Hwang, Hye-Young Kang, Ki-Joune Li
92
Voted
ATAL
2005
Springer
15 years 6 months ago
Law-governed Linda as a semantics for agent dialogue protocols
Tuple spaces and the associated Linda language are a popular model for distributed computation, and Law-Governed Linda (LGL) is a variant allowing processes to have differential ...
Sylvie Doutre, Peter McBurney, Michael Wooldridge
93
Voted
ICIP
1999
IEEE
16 years 2 months ago
Unsupervised Low-Frequency Driven Segmentation of Color Images
This paper presents an algorithm for unsupervised segmentation of color images. The main idea behind it is the use of the low-frequency content of images which allows for smoothin...
Luca Lucchese, Sanjit K. Mitra