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TSP
2011
151views more  TSP 2011»
14 years 8 months ago
Stochastic Models for Sparse and Piecewise-Smooth Signals
Abstract—We introduce an extended family of continuous-domain stochastic models for sparse, piecewise-smooth signals. These are specified as solutions of stochastic differential...
Michael Unser, Pouya Dehghani Tafti
CVPR
1998
IEEE
16 years 3 months ago
Nonlinear PHMMs for the Interpretation of Parameterized Gesture
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
Andrew D. Wilson, Aaron F. Bobick
SCVMA
2004
Springer
15 years 7 months ago
Analysis and Interpretation of Multiple Motions Through Surface Saliency
1 . The problem of recovering the 3-D camera and scene structure has been intensively studied and is considered well understood. Starting with two images, a process of establishing...
Mircea Nicolescu, Changki Min, Gérard G. Me...
103
Voted
MVA
2002
175views Computer Vision» more  MVA 2002»
15 years 1 months ago
Augmented geophysical data interpretation through automated velocity picking in semblance velocity images
Velocity Picking is the problem of picking velocity-time pairs based on a coherence metric between multiple seismic signals. Coherence as a function of velocity and time can be ex...
J. Ross Beveridge, Charlie Ross, L. Darrell Whitle...
133
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SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 3 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou