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» Probabilistic Neural Network Models for Sequential Data
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ARC
2009
Springer
140views Hardware» more  ARC 2009»
14 years 2 months ago
FPGA-Based Anomalous Trajectory Detection Using SOFM
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
14 years 1 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
IJCNN
2006
IEEE
14 years 2 months ago
Recognizing Human Emotion from Partial Facial Features
—Recognizing human emotions from partial facial features is quite hard to achieve reasonable accuracy. In this paper, we propose to use a tree structure representation to simulat...
Jia-Jun Wong, Siu-Yeung Cho
UAI
1997
13 years 9 months ago
Score and Information for Recursive Exponential Models with Incomplete Data
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...
Bo Thiesson