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» Semi-Markov Models for Sequence Segmentation
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ICIP
2006
IEEE
16 years 23 days ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ANCS
2005
ACM
15 years 4 months ago
Segmented hash: an efficient hash table implementation for high performance networking subsystems
Hash tables provide efficient table implementations, achieving O(1), query, insert and delete operations at low loads. However, at moderate or high loads collisions are quite freq...
Sailesh Kumar, Patrick Crowley
104
Voted
DICTA
2003
15 years 14 days ago
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
Nianjun Liu, Brian C. Lovell
ICIP
2008
IEEE
16 years 25 days ago
Spatiotemporal modeling and matching of video shots
In this paper, we propose a framework to model video sequences using spatiotemporal description of video shots. Spatiotemporal volumes are extracted thanks to an efficient segment...
Eric Galmar, Benoit Huet
81
Voted
ICPR
2008
IEEE
16 years 9 days ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang