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HT
2009
ACM
15 years 11 months ago
Modeling and predicting group activity over time in online social media
This paper develops a probabilistic framework that can model and predict group activity over time on online social media. Users of social media sites such as Flickr often face the...
Munmun De Choudhury
208
Voted
NLPRS
2001
Springer
15 years 11 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
NLPRS
2001
Springer
15 years 11 months ago
Japanese Information Retrieval Method Using Syntactic and Statistical Information
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
Tsunenori Mine, Hiroki Fujitani, Makoto Amamiya
FGR
2000
IEEE
131views Biometrics» more  FGR 2000»
15 years 11 months ago
Robust Facial Feature Localization by Coupled Features
In this paper, we consider the problem of robust localization of faces and some of their facial features. The task arises e.g. in the medical field of visual analysis of facial p...
Matthias Zobel, Arnd Gebhard, Dietrich Paulus, Joa...
CPE
1998
Springer
80views Hardware» more  CPE 1998»
15 years 11 months ago
Probability, Parallelism and the State Space Exploration Problem
We present a new dynamic probabilistic state exploration algorithm based on hash compaction. Our method has a low state omission probability and low memory usage that is independen...
William J. Knottenbelt, Mark Mestern, Peter G. Har...