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NIPS
2004
15 years 7 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang
ICASSP
2011
IEEE
14 years 10 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...
ECCV
2010
Springer
15 years 9 months ago
Anomalous Behaviour Detection using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Pro
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...
AIPS
2008
15 years 8 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
ICASSP
2008
IEEE
16 years 29 days ago
Representation of solo clarinet music by physical modeling synthesis
A physical modeling synthesizer is developed and used to parametrically represent digital audio recordings of clarinet soloists. Empirical data, in the form of acoustic impedance ...
Mark Sterling, Xiaoxiao Dong, Mark Bocko