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» A General Method for Feature Matching and Model Extraction
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156
Voted
ACL
2009
15 years 1 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
170
Voted
ICPR
2008
IEEE
15 years 10 months ago
A similarity measure under Log-Euclidean metric for stereo matching
Stereo matching has been one of the most active areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization ...
Quanquan Gu, Jie Zhou
142
Voted
ICIP
2006
IEEE
16 years 5 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
168
Voted
ECOOP
1997
Springer
15 years 7 months ago
Feature-Oriented Programming: A Fresh Look at Objects
We propose a new model for exible composition of objects et of features. Features are similar to (abstract) subclasses, but only provide the core functionality of a (sub)class. Ove...
Christian Prehofer
CVPR
2003
IEEE
16 years 5 months ago
Automated Feature-Based Range Registration of Urban Scenes of Large Scale
We are building a system that can automatically acquire 3D range scans and 2D images to build geometrically and photometrically correct 3D models of urban environments. A major bo...
Ioannis Stamos, Marius Leordeanu