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» Scalable, updatable predictive models for sequence data
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ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
15 years 6 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon
75
Voted
BMVC
2001
15 years 2 months ago
Finding Paths in Video Sequences
This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of...
Dimitrios Makris, Tim Ellis
84
Voted
ICPR
2010
IEEE
15 years 3 months ago
Spatial Representation for Efficient Sequence Classification
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
Pavel Kuksa, Vladimir Pavlovic
ICML
2006
IEEE
16 years 1 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICIP
2004
IEEE
16 years 2 months ago
Analysis of the efficiency of snr-scalable strategies for motion compensated video coders
In this paper, an analysis of the efficiency of three signal-to-noise ratio (SNR) scalable strategies for motion compensated video coders and their non-scalable counterpart is pre...
Josep Prades-Nebot, Gregory W. Cook, Edward J. Del...