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CVPR
2010
IEEE
16 years 3 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
SG
2009
Springer
16 years 1 months ago
Feature-Driven Volume Fairing
Abstract. Volume datasets have been a primary representation for scientific visualization with the advent of rendering algorithms such as marching cubes and ray casting. Nonethele...
Shigeo Takahashi, Jun Kobayashi, Issei Fujishiro
CVPR
2008
IEEE
16 years 1 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang
LCN
2008
IEEE
16 years 1 months ago
Supporting geographical queries onto DHTs
Location-based services (LBS) are currently receiving world-wide attention as a consequence of the massive usage of mobile devices, but such location services require scalable dis...
Jordi Pujol Ahulló, Pedro García L&o...
MIDDLEWARE
2007
Springer
16 years 29 days ago
Rule-based reasoning about qualitative spatiotemporal relations
This paper is about a novel rule-based approach for reasoning about qualitative spatiotemporal relations among technology-rich autonomous objects, to which we refer to as artifact...
Clemens Holzmann