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» Using a Non-prior Training Active Feature Model
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ICPR
2006
IEEE
16 years 3 months ago
Improving human activity detection by combining multi-dimensional motion descriptors with boosting
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
JCNS
2006
59views more  JCNS 2006»
15 years 1 months ago
Spatio-temporal filtering properties of a dendritic cable with active spines: A modeling study in the spike-diffuse-spike framew
The spike-diffuse-spike (SDS) model describes a passive dendritic tree with active dendritic spines. Spine-head dynamics is modeled with a simple integrate-and-fire process, whils...
Yulia Timofeeva, Gabriel J. Lord, Stephen Coombes
NAACL
2003
15 years 3 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
ICCV
2009
IEEE
16 years 6 months ago
A Latent Model of Discriminative Aspect
Recognition using appearance features is confounded by phenomena that cause images of the same object to look different, or images of different objects to look the same. This ma...
Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, D...
WSC
2001
15 years 3 months ago
Simone: large scale train network simulations
This paper describes the architecture and potentials of Simone. Simone is a simulation environment to generate, simulate and analyze complex and large scale train networks. The pu...
Dick Middelkoop, Michiel Bouwman