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NIPS
2000
13 years 10 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
ASC
2004
13 years 8 months ago
Recognizing environments from action sequences using self-organizing maps
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
Seiji Yamada
CIKM
2010
Springer
13 years 6 months ago
Discovery of numerous specific topics via term co-occurrence analysis
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
Omid Madani, Jiye Yu
SOCIALCOM
2010
13 years 6 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
15 years 1 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang