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» Probabilistic Neural Network Models for Sequential Data
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ICANN
2011
Springer
12 years 11 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter
SAC
2006
ACM
14 years 2 months ago
Facial emotion recognition by adaptive processing of tree structures
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
Jia-Jun Wong, Siu-Yeung Cho
ACJ
2005
48views more  ACJ 2005»
13 years 8 months ago
Analysis of DNA Sequence Pattern Using Probabilistic Neural Network Model
Xiaoming Wu, Fang Lu, Bo Wang, Jingzhi Cheng
BMVC
2010
13 years 6 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
ICANN
2007
Springer
14 years 2 months ago
Neural Network Processing for Multiset Data
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...
Simon McGregor