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» Semi-Markov Models for Sequence Segmentation
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BMVC
1998
15 years 13 days ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
CVPR
2004
IEEE
16 years 1 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 5 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
CVPR
2001
IEEE
16 years 1 months ago
Event-Based Analysis of Video
Dynamic events can be regarded as long-term temporal objects, which are characterized by spatio-temporal features at multiple temporal scales. Based on this, we design a simple st...
Lihi Zelnik-Manor, Michal Irani
EMMCVPR
2005
Springer
15 years 4 months ago
Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers
Abstract. We propose a model of the shape, motion and appearance of a sequence of images that captures occlusions, scene deformations, arbitrary viewpoint variations and changes in...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...