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» Unification of Temporal Data Models
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99
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ICML
2010
IEEE
15 years 1 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
116
Voted
ICIP
2006
IEEE
16 years 2 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
CVPR
2005
IEEE
16 years 2 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ICPR
2000
IEEE
16 years 1 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland
84
Voted
IWANN
2001
Springer
15 years 5 months ago
A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus
Abstract. Intracellular recordings obtained under cutaneous and lemniscal stimulation show that the afferent fibers can establish excitatory and inhibitory synaptic connections w...
Eduardo Sánchez Vila, Senén Barro, J...