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WIAMIS
2009
IEEE
14 years 15 days ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
ICPR
2004
IEEE
14 years 6 months ago
Discriminative Distance Measures for Image Matching
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...
Tat-Jen Cham, Xi Chen
ISCAS
2003
IEEE
145views Hardware» more  ISCAS 2003»
13 years 11 months ago
Automatic moving object extraction in MPEG video
In this paper, we propose a moving object extraction technique for MPEG coded data directly. It is a changebased motion object extraction approach, which discriminates background ...
Wei Zeng, Wen Gao, Debin Zhao
ESEM
2008
ACM
13 years 7 months ago
On establishing a benchmark for evaluating static analysis alert prioritization and classification techniques
Benchmarks provide an experimental basis for evaluating software engineering processes or techniques in an objective and repeatable manner. We present the FAULTBENCH v0.1 benchmar...
Sarah Smith Heckman, Laurie Williams
CVPR
2008
IEEE
14 years 7 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...