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» Sparse representation of images with hybrid linear models
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CVPR
2006
IEEE
15 years 5 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
BIRTHDAY
2009
Springer
15 years 6 months ago
Hybrid BDD and All-SAT Method for Model Checking
We present a new hybrid BDD and SAT-based algorithm for model checking. Our algorithm is based on backward search, where each pre-image computation consists of an efficient All-SA...
Avi Yadgar, Orna Grumberg, Assaf Schuster
ICPR
2006
IEEE
16 years 28 days ago
Activity Recognition from Silhouettes using Linear Systems and Model (In)validation Techniques
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process depar...
Roberto Lublinerman, Necmiye Ozay, Dimitrios Zarpa...
CVPR
2010
IEEE
15 years 8 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
ISBI
2004
IEEE
16 years 16 days ago
Diffusion Smoothing on Brain Surface via Finite Element Method
Surface data such as the segmented cortical surface of the human brain plays an important role in medical imaging. To increase the signal-to-noise ratio for data residing on the b...
Moo Chung, Jonathan Taylor