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TSP
2011
151views more  TSP 2011»
13 years 1 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
14 years 8 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
13 years 11 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...
MVA
2002
175views Computer Vision» more  MVA 2002»
13 years 5 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...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
13 years 7 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