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» Unsupervised Greedy Learning of Finite Mixture Models
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ICPR
2006
IEEE
14 years 8 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
PAMI
2008
179views more  PAMI 2008»
13 years 7 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
ICASSP
2008
IEEE
14 years 2 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
CVPR
2011
IEEE
13 years 5 months ago
Fast Unsupervised Ego-Action Learning for First-person Sports Videos
Portable high-quality sports cameras (e.g. head or helmet mounted) built for recording dynamic first-person video footage are becoming a common item among many sports enthusiasts...
Kris Kitani, Yoichi Sato, Takahiro Okabe, Akihiro ...
ICASSP
2011
IEEE
12 years 11 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...