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» Event-Coupled Hidden Markov Models
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KDD
2005
ACM
119views Data Mining» more  KDD 2005»
15 years 9 months ago
LIPED: HMM-based life profiles for adaptive event detection
In this paper, the proposed LIPED (LIfe Profile based Event Detection) employs the concept of life profiles to predict the activeness of event for effective event detection. A gro...
Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 9 months ago
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Nuria Oliver, Eric Horvitz
136
Voted
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 8 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
MMS
2006
15 years 4 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
125
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ICIP
2000
IEEE
16 years 5 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda